Top AI Software Engineer Jobs Openings in 2025

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Tl;dr — Join Callidus, the most advanced legal generative‑AI platform, as a hands‑on Full Stack Engineer. Work with state‑of‑the‑art AI, an experienced founder‑led team, and a fresh funding round. Competitive total comp. Hustle culture. San Francisco. About CallidusWe are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way.Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission.More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team.We work hard, ship fast, and win together.  Your RoleWe want highly talented engineers that want to be hands-on. We don’t want a bunch of managers. You’ll be an individual contributor Software Engineer (everyone at Callidus is a doer). Expect to:- Design, build, and maintain customer‑facing features end‑to‑end.- Engineer reliable, scalable Gen‑AI workflows (hybrid RAG, agents, chains of thought, etc.).- Collaborate daily with lawyers and product to ship measurable user value.- Own projects like “ingest millions of PDFs and summarize the legally relevant findings for this case”.- Uphold code quality, security, and performance through reviews and automated tests. Seniority LevelHiring for all levels of seniority from mid-level engineer (Software Engineer II, at least 2 years of experience) to staff/principal (~8+ years of experience).This role will report to the CTO. Tech Stack- Cloud: Azure- Backend: Python (FastAPI), Redis, Postgres- Frontend: React / Next.js, Node- AI: OpenAI, Anthropic, Gemini, Meta, Mistral (choosing best‑in‑class per task) What We’re Looking For:Full-stack engineering in Python + React/Next.Proven record of shipping high‑quality products quickly.Experience working with LLM APIs and prompt engineering.Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.).Startup or LLM‑focused‑company experience.Ability to commute to San Francisco office ~3-5 days per week. Soft Skills:Ownership mindset: you do what you say and surface risks early.Ability to work well with ambiguity and low amounts of process.Excellent problem solving capabilities. Passion & Dedication:Genuine excitement for AI and building category‑defining products.Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.).Understanding that this will be much more than a 9‑to‑5. The high effort is easy when you love what you do, the company you’re building, and the mission you’re fulfilling.

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. We’re looking for a Staff Software Engineer to join our Restaurant Applications team. You will own the design and implementation of rich, interactive user interfaces used by both consumers and brand operations / marketing teams. You’ll architect scalable front-end systems—from component libraries and data-driven dashboards to A/B testing frameworks—while partnering closely with UX designers, product managers, and back-end engineers to deliver seamless end-to-end solutions. If you're passionate about building novel, scalable, high-impact and easy to use applications, we’d love to hear from you! In this role, you will: Drive end to end solutions to ambiguous and open-ended technical challenges. Design and architect responsive, high performance web applications. Influence key stakeholders within the organization to generate new products and adopt new processes and practices. Continuously improve our brand onboarding and operational excellence capabilities. Collaborate with product and design teams to build world-class applications. Work on systems that handle millions of voice AI conversations per year. Identify and eliminate sources of toil and inefficiency in systems and processes. Proactively refine UX based on user feedback and usage analytics, driving measurable improvements in adoption, task completion time, and error rates. We would love to hear from you if: Have 12 years of software engineering experience. Have expertise with React, including hooks, context, and modern patterns. Have hands-on experience with state management libraries (Redux, Zustand, Recoil, Reframe) and data-fetching strategies (GraphQL or REST). Have solid understanding of HTML5, CSS3 (Flexbox/Grid) and CSS-in-JS or utility-first frameworks (e.g., Tailwind). Have proficiency in implementing accessibility standards (WCAG) and responsive design. Have strong UI/UX skills with an eye for pixel-perfect implementation. Have familiarity with design tools (Figma, Sketch) and prototyping workflows, bring knowledge of real-time frameworks (WebSocket, GraphQL Subscriptions) and data visualization libraries (D3.js, Recharts).  Have experience working directly with customers to gather feedback and improve applications. Are interested in learning Clojurescript, Reagent and Reframe. We’d be especially excited if you:  Bring experience with ClojureScript, Reagent, and Reframe, have a background in restaurant technology, hospitality, or operations-focused SaaS products, demonstrate strong problem-solving skills and a growth mindset, and communicate effectively while collaborating across distributed teams. This position is available for remote work across most of the United States. SoundHound AI DOES NOT offer employment in Alabama, Alaska, Delaware, Iowa, Maine, Mississippi, New Hampshire, North Dakota, Rhode Island, South Carolina, Vermont, West Virginia, Wisconsin, and Wyoming. Regardless of workplace arrangement, employees within a 60-mile radius of a SoundHound AI office are expected to work from the office on three pre-scheduled, company-wide “core days” per month to encourage cross-team connection and in-person collaboration. The estimated salary for this position is $165,000 - $200,000 plus equity. In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience. ______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.   #LI-MQ1 #LI-REMOTE

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Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office four times per week: Day to day: 50% Software engineering - technical product planning, and coding 50% Managing a growing team. You will: Recruit a high-performing engineering team.  Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.  Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings Have or ability to obtain a TS/SCI clearance Ideally you’d have: 5+ years of full-time engineering experience, post-graduation 2+ years of prior engineering management or equivalent experience and has managed an engineering team. Have extensive experience in software development Experience scaling products at hyper-growth startups Excitement to work with AI technologies and their applications for the public sector Extremely strong track record as an individual contributor Show a track record of mentoring and leading teams in successful projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: TS/SCI Clearance Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. Have experience with AI platforms and technologies, including generative models and LLMs. Have previous experience in government or government facing technology roles Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of Washington DC is:$169,000—$279,000 USDCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$188,000—$311,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$169,000—$279,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About the teamThe Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.About the roleAs a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.In this role, you will:Build and maintain automation systems for provisioning and managing server fleets.Develop tools to monitor server health, performance, and lifecycle events.Collaborate with clusters, networking, and infrastructure teams.Partner with external operators to ensure a high level of quality.Identify and fix performance bottlenecks and inefficiencies.Continuously improve automation to reduce manual work.You might thrive in this role if you have:Experience managing large-scale server environments.A balance of strengths in building and operationalizing.Proficiency in Python, Go, or similar languages.Strong Linux, networking, and server hardware knowledge.Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.Prior hardware expertise is not required for this role.Bonus Skills:Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)Knowledge of hardware management protocols (e.g., IPMI, Redfish).High-performance computing (HPC) or distributed systems experience.Prior experience developing, managing, or designing hardware.Familiarity with monitoring tools (e.g., Prometheus, Grafana).About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:Anyscale is looking for a Software Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision.Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform.You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.A snapshot of projects you may work onDesign, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deploymentsOptimize control plane components for large-scale, distributed AI/ML workloadsBuild intelligent scheduling and resource management systems for heterogeneous compute clustersDevelop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloadsSupport and optimize accelerator integration (e.g., GPUs, TPUs).Handle container image management and dependency resolution for distributed workloadsParticipate in code reviews, design and architecture discussionsProvide on-call support, working closely with customer and field teams to troubleshoot infrastructure issuesCollaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructureWe'd love to hear from you if haveBachelor's degree in Computer Science, Engineering, or equivalent practical experience3+ years of experience writing high-quality production codeHands-on experience in building and maintaining highly available, scalable, and performant distributed systemExpertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deploymentsDeep understanding of networking, security, and authentication mechanisms in cloud environmentFamiliarity with observability stacks (Prometheus, Grafana etc)Proficiency in Go and PythonKnowledge of low-level operating system foundations (Linux kernel, file systems, containers)Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about?  We are seeking a highly skilled Backend Software Engineer to join the GenAI Solutions for CX, our fully integrated AI cloud customer experience platform. On this role you will get the exposure to new and exciting technologies and collaborate with professional engineers, architects, and product managers to create NICE’s advanced line of AI cloud products  How will you make an impact? Design and implement high-performance microservices using AWS cloud technologies  Build scalable backend systems using Python  Lead the development of event-driven architectures utilizing Kafka and AWS Firehose  Integrate with Athena, DynamoDB, S3, and other AWS services to deliver end-to-end solutions  Ensure high-quality deliverables with testable, reusable, and production-ready code  Collaborate within an agile team, influencing architecture, design, and technology adoption  Have you got what it takes?  2+ years of backend software development experience  Strong expertise in Python/C#   Deep knowledge of microservices architecture, RESTful APIs, and cloud-native development  Hands-on experience with AWS Lambda, S3, Athena, Kinesis Firehose, and Kafka  Strong database skills (SQL & NoSQL), including schema design and performance tuning  Experience designing scalable systems and delivering enterprise-grade software   Comfortable working with CI/CD pipelines and DevOps practices  Passion for clean code, best practices, and continuous improvement  Excellent communication and collaboration abilities  Fluent in English (written and spoken)   What’s in it for you?  Join an ever-growing, market-disrupting global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!   Enjoy FLEX!  At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 7989 Reporting into: Tech Manager Role Type: Individual Contributor  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.  So, what’s the role all about?  We are seeking a highly skilled Backend Software Engineer to join the GenAI Solutions for CX, our fully integrated AI cloud customer experience platform. On this role you will get the exposure to new and exciting technologies and collaborate with professional engineers, architects, and product managers to create NICE’s advanced line of AI cloud products  How will you make an impact? Design and implement high-performance microservices using AWS cloud technologies  Build scalable backend systems using Python  Lead the development of event-driven architectures utilizing Kafka and AWS Firehose  Integrate with Athena, DynamoDB, S3, and other AWS services to deliver end-to-end solutions  Ensure high-quality deliverables with testable, reusable, and production-ready code  Collaborate within an agile team, influencing architecture, design, and technology adoption  Have you got what it takes?  5+ years of backend software development experience  Strong expertise in Python/C#   Deep knowledge of microservices architecture, RESTful APIs, and cloud-native development  Hands-on experience with AWS Lambda, S3, Athena, Kinesis Firehose, and Kafka  Strong database skills (SQL & NoSQL), including schema design and performance tuning  Experience designing scalable systems and delivering enterprise-grade software   Comfortable working with CI/CD pipelines and DevOps practices  Passion for clean code, best practices, and continuous improvement  Excellent communication and collaboration abilities  Fluent in English (written and spoken)   What’s in it for you?  Join an ever-growing, market-disrupting global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!   Enjoy FLEX!  At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 7981 Reporting into: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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As a test specialist and quality assurance engineer, you will lead the testing and quality assessment of several AI software products at Gauss Labs. As a proven QA/Test Engineer, you will solve challenging problems in a fast-changing product and startup environment. You will work with cross-engineering teams, including software engineers and data scientists, in an agile, flexible, and collaborative manner to contribute to developing innovative AI products. You will build a fast and stable product release cycle in a DevOps environment, analyze new concept products to establish test strategies, and devise practical test plans. You will ensure reliable test coverage to provide reliable reports to your team and customers. If you have an unquenchable curiosity for quality and demonstrable skills, you are the right person for this position! ResponsibilitiesDesign, develop, and execute comprehensive test strategies and test plansDefine key metrics for measuring and reporting on the quality of software products and test effectivenessCreate, maintain, and execute test cases, test scripts, and test scenarios for various software components, including functional, regression, performance, and security testingOwn the design and implementation of tests that will help in the end-to-end quality of major deliverables, working closely with multiple engineers and teams to execute themLeverage the existing automation framework to design, create, and maintain an automated regression test suiteStay up-to-date with industry trends, emerging technologies, and best practices in QA and testing, and apply this knowledge to continuously improve testing processesUnderstand software internals, debug problems using log files, and write automated tests with scripts and/or user-level automated toolsCreate and report test execution status summary along with defect informationContribute to the continuous improvement of the QA process, suggesting and implementing process enhancementsCollaborate and influence cross-functional teams, including developers, product managers, and project managers, to understand software quality requirements and design effective test strategiesAttend grooming and planning meetings for all teams as part of the development teamEnsure work is consistently high quality and incorporates best practices Basic QualificationsBS in Computer Science, Engineering, and related fields5+ years of experience in testing or quality assurance engineeringExperience with at least one product or service release cycle utilizing manual or automated testingExperience in test engineering using one or more test frameworks: Pytest, Playwright, Selenium, Cypress, etc.Experience at least one language scripting or coding that can be applied in the fieldFamiliar with CI/CD pipeline and DevOps environmentExperience designing and planning test conditions, test scripts, and test datasets to ensure appropriate and adequate coverage and control Preferred QualificationsExperience with testing web services as well as REST or GraphQL APIsPreference for these language experiences: Python, TypeScript, GoLangExperience in gathering test requirements to create detailed test plans and define quality metrics to measure product qualityExperience working closely with development and business teamsA person who is comfortable with self-motivation to get jobs done

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking an Engineering Manager to lead and grow our highly-driven Agents engineering team. The Agents team consists of AI-savvy, full-stack engineers who leverage bleeding-edge models to build delightful agentic experiences within our most critical product surfaces. In July 2025, Perplexity shipped Comet, the world’s first agentic browser—and we’re just getting started. Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. You will lead, grow, and support a team in solving many open problems in AI, including: Designing and empowering agents to navigate the open internet; Seamlessly transitioning agents between foreground and background to deliver maximum value for our users; Designing optimal data representations and modes of interaction between agents and their environments; Orchestration infrastructure that can bridge local and server-side context; and much, much more. Responsibilities Provide engineering leadership across multiple layers of a rapidly growing product in the agents space. Provide domain expertise and sharp technical/product intuition to guide the team’s system architectures and product roadmaps. Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. Collaborate closely with the Core Research / Post-Training, Inference, Search, and Comet application teams. Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. Qualifications Strong foundational familiarity with the full AI product stack. Strong product intuition and taste for user experience excellence. Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better). Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. Experience managing medium-sized engineering teams, including recruiting, growing, and retaining high-caliber talent. Experience leveraging the right combination of open source, third-party, and in-house solutions. 9+ years of general engineering experience. 2+ years of experience developing and/or deploying frontier models in impactful ways. 4+ years of engineering management experience.   The cash compensation range for this role is $250,000 - $325,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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We're hiring a Content Engineer (contract or internship) to build cool projects with Create. Your job will be to build projects in React or React Native that wow the Internet and help train our AI agent. You'll sit at the intersection of the AI and marketing teams. Your projects will feed into model training runs for our AI code writing agent. And we'll feature stand out projects you create to our users as examples of what you can build and how. You'll build most of your projects with Create's AI agent via prompting; it generates code for full stack web and mobile apps so prior experience as a React / React Native developer or UX designer will help you move faster. Why this role existsMany people meet Create for the first time through great example apps (templates, demos, galleries, etc). We also use well structured projects to train the models that power Create's AI agent on particular design or code patterns we want it to nail for different use case. The faster we ship stunning, real apps with Create → the more app building examples we have → the faster our AI learns → the faster our users succeed. Projects you create in this role will live in three places: Templates – help kick‑start new users.AI training set – train models to sharpen our codegen agentMarketing & Social – power tweets, videos, and launch posts What you’ll doBuild full‑stack apps with Create in hours, not weeks.Polish the last 10% in code so every pixel sings and everything works.Document the build so anyone can learn from it on their ownPair with the AI team to turn your projects into training data for different goalsJam with marketing to create killer apps to showcase product launches (gif, tweet thread, blog, video)You’ll thrive if you:Have strong full stack dev experience (JS/TS, React/React Native/Next/Expo, Node or similar).Love moving from blank page → shipped product in a day.Strong attention to detail & aesthetics – you notice off‑by‑1 px.Ship fast Strong prompt voodoo - you're good at writing specific, actionable prompts to get what you want from AI. Are psyched to work in‑person, 5 days a week, downtown SF. We move fast and prioritize tight feedback loops. Nice‑to‑havesPrior indie‑hacker, creator, or founder experience.Shipped projects with real users LogisticsType: month to month contract or internship (extension or FT possible).Hours: 40 hrs/week, on‑site preferred for faster feedback; remote possible. How to applyFill out our application form. Include any links to projects you've built.We’ll reply within 48 hrs with next steps (light take‑home or interview)

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.    So, what’s the role all about?  The Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and tailored solutions for NICE products and services. This role focuses on the implementation, configuration, and optimization of solutions such as Feedback Management, Salesforce Integrations, and Text Analytics for enterprise clients. It combines both technical and business responsibilities, requiring direct engagement with clients to understand their requirements, provide consultative support, and deliver innovative, value-driven solutions How will you make an impact?   Technical Implementation: Lead the end-to-end implementation and deployment of Feedback Management, Salesforce Connector and Text Analytics solutions for enterprise clients. Provide technical consultation and support during implementation phases, including data migration, custom scripting (Python), and API integrations. Translate business requirements into technical configurations using best practices and product capabilities. Conduct detailed solution design, system configuration, integration, and testing. Partner with cross-functional teams (Product, Engineering, Support, CSMs) to ensure successful delivery and handoff. Develop and maintain implementation documentation, including architecture diagrams, configuration guides, and SOPs. Deliver product training and enablement to clients and internal stakeholders. Continuously contribute to the enhancement of delivery methodologies and reusable assets. Project Management: Collaborate with Project Managers to design and oversee end-to-end project rollouts. At times act as the Project Manager for your own project. Manage customer expectations and communicate project status, risks, and mitigation plans clearly and proactively. Manage system lifecycle development, change control processes, and risk analysis for enterprise solutions. Business Consulting: Provide subject matter expertise on NICE CXone FM, UH, Connector and Text Analytics products during client consultations. Conduct business analysis to assess user needs, design tailored solutions and provide industry guidance. Regular interaction with client teams to understand pain points, present solutions, and align on progress Leadership and Customer Handling: Once trained, mentor and lead project teams, sharing expertise and fostering a collaborative environment. Develop documentation and processes for emerging digital products from R&D teams. Regularly interact with client teams to understand needs, address pain points, and align on deliverables. Work closely with SMEs, admins, and business leads; share updates and drive KM adoption. Translate technical concepts into business terms; manage expectations and clarify scope. Have you got what it takes?   Bachelor’s degree in technical (e.g., Computer Science, Information Systems, Electrical Engineering) or business field (e.g., Marketing, MIS) or equivalent work experience. 5+ years of professional experience, with 1+ years in digital channels or AI software applications preferred. Proven expertise in: Technical configuration and if required Scripting for Custom solutions. ETL tools, RDBMS knowledge and building SQL queries. CRM integrations, APIs, and other ecosystem technologies. Best practices for contact center operations and KPIs. Familiarity with: NPS, Analytics and salesforce, and automation principles. Industry trends and emerging technologies in FM and customer engagement. You will have an advantage if you also have:  Analytical and inquisitive mindset. Team-oriented with strong interpersonal skills. Early adopter of innovative technologies. Strong sense of accountability and ownership.  Professional communication, behavior and demeanor. What’s in it for you?  Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!    Enjoy NiCE-FLEX!   At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  Requisition ID: 7891 Reporting into: Tech Manager   Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Visa Support  This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers(Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior/Staff Software Engineer, C++ Backend Development, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also have the opportunity to mentor junior engineers and facilitate high-performance agile teams collaborating with cross-functional teams. The final job title (Senior or Staff) will be determined based on the candidate's experience, interview performance, and overall fit for the team. About you [Minimum qualifications] 3-5+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Proactive, good interpersonal and problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Experience in cloud services Good understanding of monitoring and alert system #LI-SW1 #LI-Hybrid

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Forward Deployed Software EngineerAbout P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.About the Role:As the Forward Deployed Software Engineer on our Customer Engineering Team, you'll bring Archie into the live engineering environments of major industrial OEMs. You'll own the technical journey from pre-sales technical scoping through post-deployment expansion, building the custom integrations that connect Archie to real engineering workflows. Your work sets the standard for how Archie specializes to each customer, with your code and configurations reused across deployments. This is a high-impact, high-visibility opportunity with potential to scale into a technical leadership role.ResponsibilitiesWork with customers end-to-end: Jump on discovery calls, whiteboard integration architectures, and translate Archie's capabilities into concrete value propositions for technical stakeholders.Own integration implementations from zero to production: Design, build, and iterate on customer-specific pathways; write custom integrations to engineering tools and data sources; test relentlessly until Archie delivers exceptional resultsDeploy Archie into customer environments: configure secure, robust solutions across diverse customer systems (VPNs, VPCs, Windows/Linux, containerized platforms).Collaborate closely with engineering teams: partner with modeling and AI specialists to continuously refine Archie's integration and enhance product capabilities based on customer feedback.Resolve critical infrastructure issues: coordinate troubleshooting, drive root-cause analysis, and implement lasting resolutions alongside customer IT teams.Qualifications:Required:You've built enterprise-grade tooling in Python or C# within large-scale Windows/Linux environments.Comfortable reading and writing REST/JSON APIs and able to quickly script integrations to connect disparate systemsYou've managed deployments within secure enterprise IT infrastructures involving containers, CI/CD pipelines, infrastructure-as-code, and authentication/security protocols.You're skilled at rapid troubleshooting in live production scenarios and experienced in collaborating with customers during incident response.You're comfortable and effective interacting directly with customer engineers and IT leaders to align on technical objectives.Desirable:You have familiarity integrating systems within CAD/CAE ecosystems (e.g., Siemens Teamcenter, PTC Windchill) and enterprise resource planning systems like SAP.You have experience operating Kubernetes-based infrastructure, with monitoring and observability tools (Prometheus, Grafana).You have exposure to compliance and regulatory frameworks typical in safety-critical hardware sectors.Interview Process:Initial screening: Head of Talent (30 min)Technical manager interview: Head of Customer Engineering (45 min)System design session: build production infra using your own setup (60 min)Culture fit & mission: with co-founder & CEO (30 min)Location:Remote—US & Canada (must be work-authorized).Travel to SF ~1 week every six weeks; optional San Francisco office residency welcomed.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Engineering at Ada As an Ada engineer, you’ll have the autonomy to make a huge impact and the opportunity to work alongside talented peers who challenge and inspire you. We move fast, take ownership, and always strive to improve, both as individuals and as a team. You will partner with product managers, designers, and machine learning scientists and will be responsible for both building scalable systems and working directly with LLMs. If you’re excited to solve complex problems and shape the future of AI-driven customer support, we’d love to hear from you. Our Role Our team values a high ownership mindset. As a Senior Engineer, your job is not just to write the code, but to give valuable input on the features we develop and the technical foundations of our systems. You must empathize with our direct customers, and end users who will interact with the AI agents we power, to think about the best ways to solve the problems on our roadmap. About You 5+ years of experience as a Software Developer (with a strong preference for Python, JavaScript/TypeScript experience) Are comfortable across platforms with strong web experience and meaningful exposure to mobile ecosystems (e.g., working with native apps, SDKs, or mobile web constraints) Have experience with SDKs (whether building or integrating 3rd-party ones), and can reason about developer ergonomics, API design, and extensibility. Are excited by ambiguity - you’re comfortable shaping the path forward alongside product and design Ability to articulate technical decisions clearly, explaining not just the “what” but the “why” behind architectural choices, trade-offs, and implementation details Proven experience mentoring engineers through code reviews, design discussions, and knowledge-sharing Outcomes Execute on our ambitious product roadmap by creating and implementing technical designs Active participant in levelling-up our current development practices Champion a high-quality bar on our work by reviewing the team’s code, providing insightful feedback, and fostering a collaborative community within the engineering organization Ensure that the team is providing the best AI Agent platform experience by staying close to the customer feedback, internal team pain points and close collaboration with our product and design partners The expected salary range for this position is $130,000 - $170,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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Full-stack Engineer – Front-endAbout P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.About the Role:In this role, you’ll create the user experience for Archie, shaping and building how he interacts with individuals and engineering teams. Working within a small, tightly-knit team of high-performers, you’ll be principally responsible for Archie’s interactions through dedicated UIs, communications platforms (e.g.: Slack, Teams), work management systems, and more. You’ll lead the development of other UIs that are useful for admins, developers, our evals specialists, and others. You’ll also play a crucial role in collaborating closely with our expert AI specialists to ensure that Archie uses learned context and memory to always be up-to-speed when working within an engineering team. Your work will directly impact Archie’s effectiveness and user adoption, transforming how engineering teams collaborate with AI and accelerate the advancement of the built world.This role is remote and you can be based anywhere in the US or Canada, where you must have existing work authorization. You will be expected to travel to our San Francisco office for co-working sessions approximately one week out of every six. If you are already located in the SF Bay Area or are interested in relocation, you are of course welcome to work out of our SF office.Responsibilities:Implement dedicated UIs for interactions with ArchieImplement interactions with communications platforms, work management systems, and other platforms where engineering teams will interact with ArchieEnsure that Archie brings the right context to every interaction, in order to be an informed and up-to-speed member of the team.Occasionally create prototypes and mockups to anchor conversations and experiments around complex user interaction challenges Skills:Proficiency in developing and designing user interfaces and user-interactive software.Ability to identify and address complex UI/UX challenges.Proficiency in JavaScript, Python, and modern software development tools and practices (Git, CI/CD, etc.)Proficiency with one or more front-end frameworks such as React, Angular, Svelte, Vue.js.Good communication skills with a variety of stakeholders (AI researchers, domain experts, backend developers).Ability to thrive in a fast-paced, dynamic startup environment. Compensation:$160k-$200k. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Interview Process:Initial screening - with Head of Talent (30 mins)Hiring manager interview - with co-founder & Head of Engineering (45 mins)Programming interview - with member of technical staff & Head of Engineering (60 mins)bring your own dev environment and toolsCulture fit / Q&A - with co-founder & CEO (45 mins)

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Our Client Portal team is searching for early-in-career engineers who will help architect cutting-edge software integrations and revolutionize the user experience for EvenUp customers! If you're passionate about understanding user needs and ready to tackle their pain points head-on, this is your chance to shine. Working closely with our talented engineering squad, you'll spearhead the enhancement of our integration engine while paving the way for future innovations. This role isn't just about coding—it's about making an immediate impact on our business and paving the path for growth opportunities across the organization. Dive into the dynamic world of legal tech and join us in shaping its future.This is a hybrid role with the expectation of working at least 3 days a week from our downtown Toronto or San Francisco hubs.What you'll do:Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration.Collaborate closely with backend engineers, product owners & designers to develop efficient, innovative solutions.Collaborate with stakeholders to gather requirements and translate them into technical solutions.Conceptualize the design and development of interfaces and integration architecture.Document technical interface requirements and convert specifications into technical designs.Solve problems with extensive programming skills and abilities in multiple coding languages and frameworks.Optimizing application performance and responsiveness to ensure a smooth user experience.What we look for:Development Experience: 0-2 years of hands-on, relevant experience crafting applications and services, ensuring intuitive and user-friendly experiences.Technical Expertise: Extensive experience in integrating with third-party vendors while designing and implementing efficient and dependable integration frameworks.API Design and Development: Skilled in crafting RESTful APIs adhering to industry best practices and standards, coupled with a willingness to impart knowledge and mentor fellow engineers.Versatile Skillset: Solid grasp of software development fundamentals, encompassing data structures, algorithms, design patterns, and familiarity with various protocols like SOAP, REST, and GraphQL, along with server-side languages like SQL.Skilled Communication: Ability to communicate technical ideas or issues in easy-to-understand and actionable terms.Bonus: experience with React/Typescript and experience in AI, legal tech, and social impact projects.Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About the TeamThe ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe are looking for an experienced and strategic engineering leader to guide our efforts around user growth for ChatGPT. As part of this, your team will improve discoverability, onboarding and the new user experience, social features, and more through strategic bets and rapid experimentation.In this role, you will:Hire and manage a diverse, high-performing engineering teamImprove discoverability, onboarding and the new user experience, social features and moreDefine and track progress against key user growth metrics via rapid, data-driven experimentationCoach engineers to uplevel their impactCreate a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group thinkYou might thrive in this role if you:Have 10+ years of experience in engineering, including 6+ years of experience in engineering managementHave experience building and leading growth engineering in a fast-paced environmentCare deeply about diversity, equity, and inclusion, and have a track record of building inclusive teamsTake pride in both rapid experimentation and in building delightful, reliable product experiencesHave a strong track record of coaching engineers to achieve their peak potentialAre comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessaryHave experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the futureHave a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with othersAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the Team We’re building high-performance infrastructure to serve OpenAI’s frontier models at massive scale. As part of the inference team, you’ll be responsible for unlocking every last FLOP from our GPUs by designing kernels, tuning memory layouts, and optimizing model execution at the lowest levels of the stack.About the Role We are looking for a kernel-focused engineer to lead efforts in writing, porting, and optimizing GPU kernels used in inference workloads. This role requires deep familiarity with CUDA or equivalent kernel programming environments, and a strong intuition for performance tuning across modern GPU architectures.In this role, you will:Design, implement, and optimize CUDA kernels for inference-critical operations (e.g., fused matmuls, custom activation functions, memory layout transforms).Analyze performance bottlenecks and optimize kernel execution for throughput and latency.Contribute to and extend internal GPU libraries and runtime tools.Work closely with hardware-specific profiling tools (e.g., Nsight, nvprof) to guide improvements.Collaborate with researchers to port or re-architect new model operations for production use. You might thrive in this role if you:Have deep expertise in CUDA, and have written high-performance GPU code used in production systems.Understand GPU memory hierarchies, warp scheduling, and kernel-level tuning.Have experience debugging low-level perf issues with Nsight, cupti, or ROCm tools.Are excited to build optimized compute primitives that scale across fleets of accelerators.Enjoy working closely with model researchers to bring new operators to life.Nice to have:Contributions to GPU kernel libraries or frameworks (Triton, cuBLAS, cutlass).Experience with mixed precision or tensor core optimization.Familiarity with MIG, multi-instance GPU configurations, or NUMA-aware execution.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are looking for an experienced software engineer to build a best-in-class video editing and streaming platform to power the core editing and AI functionality of the app. What You’ll Do Design, build, and optimize scalable backend infrastructure to process, store, and serve real-time media processing pipelines and AI inference workloads efficiently. Collaborate closely with Product, AI Research, and Engineering teams to ensure our platform meets the evolving needs of advanced audio and video workflows. Build cutting edge model training and evaluation infrastructure. Evaluate, integrate, and optimize third-party AI vendor solutions, collaborating closely with Product Engineering and AI Research teams to enhance our AI capabilities and accelerate feature delivery. Make high-impact architectural decisions that balance short-term goals with long-term scalability, while mentoring teammates and championing engineering best practices. What You Bring 5+ years of professional backend software engineering experience. Experience with cloud infrastructure (GCP, AWS), modern data storage systems (S3, GCS, PostgreSQL, Dynamo/Bigtable), Linux, and data infrastructure (Airflow, Beam, Spark). Expertise in modern backend languages and technologies, such as Python, Typescript/Node.js, Go, or similar. Deep understanding of system design principles, performance optimization, and infrastructure automation (e.g., Temporal, Kubernetes, Docker). Solid CS fundamentals, including data structures, algorithms, databases (Postgres, BigQuery), and familiarity with monitoring and observability tools (metrics and distributed tracing). Strong written and verbal communication skills, along with good judgment in technical decision-making. Nice to Have Experience in AI and ML technologies (Pytorch, CUDA, distributed training). Expertise in digital media processing, codecs, and streaming technologies (ffmpeg, WebRTC, HLS, MPEG-DASH). Familiarity with GPU profiling, performance tuning, and optimization techniques. Experience contributing to or engaging with open-source communities. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for this role is $160,000- $240,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a proven CEO and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Who We Are.Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.The Role.We are looking for a Junior Software Engineer (Backend) who is experienced and brings deep expertise in backend development. You will join a small, talented team and lead efforts to architect scalable solutions, drive technical excellence, and support our vision for a future where Grass plays a critical role in shaping the internet's evolution.Who You Are.BS or MS degree in a STEM major or equivalent job experience required2+ years experience in software development and writing very high quality code that is robust and easy to maintainKnowledge on how to build large scalable systemsKnowledge and experience in identifying and solving issues with intricate, live software systems, as well as in-depth familiarity with contemporary software development processes such as continuous integration and continuous deployment.Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issuesProfessional or native English language proficiencyWhat You'll Be Doing.Develop new features and software improvementsTest, deploy and debug backend API servicesDesigning, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modesWrite clear, tested, documented codeCreate and review technical design, code, and documentationContribute to Wynd’s infrastructure which includes mobile, desktop and server-side applicationsTechnologies Used.Golang, Python, Redis Clusters, KubernetesWhy Work With Us.Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process and share in the benefits of AI development.Culture. We’re a lean team working together to achieve the ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.Compensation. You’ll receive a competitive salary and equity package.