Top AI Software Engineer Jobs Openings in 2025

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role HP IQ is seeking an IT Engineer to help design, implement and maintain essential IT infrastructure for use by both HP IQ employees and our IT team. Our IT Engineers also work cross functionally with other teams to understand pain points, issues and blockers and find reliable and maintainable solutions. This role will also migrate tooling and infrastructure to HP tooling when appropriate and necessary. Additionally, this role serves as an escalation point for our IT Support team to assist and help when able.  What You Might Do Develop and support workflow automation for employee lifecycle and office technologies, including SaaS applications, MDM, asset management, etc. Migrate public cloud tooling to parent company tooling Build and maintain IT services with infrastructure as code Design and develop internal tooling and monitoring for IT services and cross functional partners Partner with our Facilities Team to set up new office spaces, including procurement and installation of AV, networking and security equipment Identify workflows, business processes and systems that could be migrated to parent company standards Configure, deploy and maintain company hardware Serve as an internal escalation point for our IT Support Specialist team Essential Qualifications BS in Computer Science or equivalent / 3+ years of equivalent IT Engineering experience Experience with scripting languages (Python, JavaScript, Bash, Powershell, etc.) Experience using REST APIs Understanding of network theory Familiarity with AWS, Azure and public clouds Preferred Skills Experience with Docker and Kubernetes Experience with Terraform or other Infrastructure as Code tooling Hands on experience with office build outs and moves Hands-on experience with client platform tooling for macOS and Windows (MDM, ABM, Intune, etc.) Ability to take ownership of problems presented by other teams and apply IT solutions Salary: $135,000- $188,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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YOUR MISSION: As a Lead Agent Integration Engineer (f/m/d), you will integrate Parloa’s product suite into our customers technical infrastructure, drive engineering excellence, and lead critical engineering initiatives. You will play a key role in mentoring and coaching engineers, while acting as an interface between our engineering, product, and customer success teams to shape the future of our platform through innovation and best practices, contributing to the success of the Parloa platform and customer projects.   IN THIS ROLE YOU WILL: Work closely with our customers to build an efficient integration architecture, incl. solution architecture or data flow diagrams Run workshops with our partners and customers around Parloa’s integration services  Lead technology improvements, initiatives and optimize engineering excellence Develop new features and functionality for a scalable and robust AIE ecosystem Drive tech debt reduction and enforce engineering best practices in testing, monitoring, and observability Act as a mentor and coach, supporting the growth of less experienced engineers Conduct pair programming and code reviews to maintain technical excellence Establish and maintain clear architectural documentation and guidelines Facilitate the productization of existing workarounds to enhance the AIE ecosystem Our Tech stack: Backend: TypeScript, Python, Node.js, API Gateway Infrastructure: Terraform, Azure, Kubernetes, CI/CD Pipelines Databases: CosmosDB, PostgreSQL Monitoring & Observability: DataDog, Prometheus, Grafana, OpenTelemetry AI & Data: LLMs, Prompt Engineering, Delta Sharing, Data ETL Pipelines   WHAT YOU BRING TO THE TABLE: 5+ years of experience in customer-facing full-stack engineering, ideally in a B2B context Strong experience with Azure services, cloud deployment, and infrastructure management Strong API design expertise (TypeScript focused), including API versioning and security best practices Proven track record of leading engineering initiatives and mentoring teams Bonus points if you also bring the following: Basic knowledge of conversational AI and NLU-related ML Containerization (Docker) and Kubernetes experience WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Live Challenge Task → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Agent Software Engineeirng team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $375K + Offers Equity

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We're hiring an embedded software engineer to build reliable, high-performance systems on custom hardware. You’ll own low-level bring-up, write production C/C++ code, and work closely with hardware teams to debug, optimize, and ship. This role spans early prototyping through product launch and requires deep experience with embedded platforms, toolchains, and real-world constraints like memory, power, and latency.In this role, you will:Design, implement, and debug software for embedded devicesContribute to defining software requirements, interfaces, and test plansBring up and debug new boardsAnalyze performance, memory, and power profiles and implement optimizationsInvestigate field issues, perform root-cause analysis, and deliver robust fixesFoster good software engineering practicesYou might thrive in this role if you:10+ years of professional experience shipping embedded systemsProficiency in C and C++Familiarity with embedded toolchains, operating systems, and debugging toolsExperience with both rapid prototyping and scalable product development Preferred QualificationsExperience with Zephyr RTOSExperience with networking/wireless stacks (BLE, Wi-Fi)Experience with robotic system bring-upExperience with Linux kernel developmentAbout 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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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.What You'll Do As Fiddler continues to grow, we are always on the lookout for talented and passionate individuals to join our team across various functions. This evergreen requisition is designed to collect resumes from individuals with diverse backgrounds and skillsets who are interested in contributing to our mission of building trust into AI. We encourage applicants from all fields, including but not limited to:Software Engineering (Backend, Frontend, Full Stack, Data, Infrastructure, AI/ML)Data Science and Machine LearningProduct ManagementDesign (UX/UI, Product Design)Business OperationsGTM (Sales, Pre-sales, Post-sales, Customer Success, Marketing)Customer Success and SupportYou will contribute to shape the future of AI Observability, working collaboratively with cross-functional teams to solve complex problems and drive innovation. We seek individuals who are eager to learn, adapt quickly, and thrive in a fast-paced, multi-functional startup environment. You will be expected to continuously look for ways to improve our products, processes, and customer experience. What We're Looking For We are interested in individuals with a wide range of experiences and educational backgrounds. While specific requirements will vary by role, we generally look for:A passion for AI and its potential to impact society positivelyStrong problem-solving abilities and a desire to tackle challenging technical and business issuesExcellent communication and collaboration skills, with the ability to work effectively across distributed teams and time zonesA proactive and ownership-driven mindsetA commitment to continuous learning and professional developmentRelevant experience in your field of expertiseNice to HaveExperience in developing Data analytics / Application observability and monitoring solutionsExperience with large language modelsCompensation and In-Office PolicyPay Range in San Francisco Bay Area variesFiddler HQ (Palo Alto) operates as a hybrid company, with in-office requirements based on your location in the Bay Area. Depending on your proximity, employees are expected to be in the office 1-3 days per week.The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:We are seeking a Senior Embedded Software Engineer to join our team, focusing on the security and connectivity of our next-generation embedded devices built on the Nvidia Jetson platform. This role emphasizes the development of secure, connected edge software that interfaces with cloud services, manages device data integrity, and ensures reliable OTA updates. You’ll work closely with platform, cloud, and security teams to create scalable, robust, and secure systems.Responsibilities: Develop, harden, and maintain secure Linux-based embedded applications and services for edge devices.Design and implement secure communication protocols between edge devices and cloud infrastructure (e.g., AWS, Azure).Work on integration and management of secure OTA mechanisms for system and application updates.Implement authentication, encryption, and certificate management best practices on-device.Collaborate with cloud and platform teams to ensure seamless end-to-end data integrity and telemetry workflows.Build tooling and infrastructure to monitor device health and detect anomalies or security breaches.Participate in architectural discussions for fleet-wide device lifecycle management and remote diagnostics.Required Qualifications:Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.5+ years of experience building software for embedded Linux systems.Proficient in C/C++ and Python; experience writing secure, maintainable production code.Strong understanding of Linux user-space and system-level programming (e.g., systemd, dbus, journald).Experience implementing device-to-cloud communication with protocols such as MQTT, HTTPS, or gRPC.Familiarity with common cloud platforms (AWS/Azure) and APIs for IoT or edge deployments.Solid knowledge of encryption, TLS, certificates, secure boot, and device authentication.Experience designing or maintaining OTA update systems, including A/B partitioning or failover recovery.Strong debugging skills across software, system services, and network layers.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning and workflow automation.We developed the first Domain Specific Language (DSL) that fully represents regulatory requirements in AI code. Deployed through our enterprise platform, this DSL empowers Norm clients to transform workflows and enforce compliance checks at the core of their business operations.By building and deploying Government-Grade Regulatory AI, we are setting the standard for compliance processes within the world's largest institutions and paving the way for broader deployment of AI agents in highly regulated workflows. Our rapidly expanding client base manages a combined $17 Trillion in AUM.Our team comprises software engineers from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT, and legal engineers from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have secured investments from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.About the roleWe’re looking for our first Quality Engineering Lead to establish and scale our QA strategy at the forefront of AI-powered enterprise compliance software. As our first dedicated quality hire, you’ll define and implement test processes, while partnering closely with engineering, product, and design to ensure our most complex and high-impact workflows are reliable and regression-resistant.This is a hybrid role: part technical contributor, part process leader, and part future team building. You’ll own the foundation of our quality efforts and help us evolve toward a scalable model that supports fast iteration without sacrificing stability.Core Responsibilities:Define and operationalize a pragmatic quality strategy that supports fast-moving, engineering-owned development.Lead by example–writing, organizing, and maintaining regression test plans (manual and automated) for critical flows.Partner with engineers to identify test gaps, reduce flakiness, and improve coverage across branching workflows.Introduce and enforce lightweight release-readiness practices for high-risk changes.Build tooling or partner with platform engineers to improve test infrastructure, data generation, and CI reliability.Track and share key quality metrics (e.g. regression trends, test pass rates, flaky test triage).Own root cause analysis for regressions and help ensure long-term prevention.Develop the roadmap to scale the QA function, including evaluating when and how to grow a team.Skills & Experience - Core:5+ years of experience in software engineering, QA, quality engineering, or test infrastructure rolesStrong experience designing and executing test strategies for complex, evolving enterprise productsHands-on experience with end-to-end testing tools (e.g. Playwright, Cypress), and writing maintainable automated testsComfort acting as both an individual contributor and quality process ownerExperience with CI/CD systems and improving test visibility and observabilityHigh ownership mindset with strong collaboration and communication skillsAbility to work cross-functionally with engineers, PMs, and designers to prioritize quality in the product lifecycleSkills & Experience - Pluses:Experience as a first QA hire or building QA functions from scratchExposure to AI-powered, probabilistic, or highly dynamic UIsFamiliarity with testing in regulated or enterprise environmentsExperience mentoring or managing other QA engineers, contractors, or automation specialistsWhat success looks like after 30 daysYou’ve mapped out key risk areas in the product and identified priority test coverage gapsYou’ve proposed a practical QA model that supports team-owned quality and minimizes regressionsYou’ve partnered with engineering leads to improve existing test coverage and reliability in CIYou’ve begun organizing and documenting regression testing practicesWhat success looks like after 90 daysYou’ve led structured regression testing cycles for high-risk workflows, with measurable impactYou’ve introduced key process improvements that help engineers ship with more confidenceYou’ve established visibility into test failures, coverage gaps, and quality KPIsYou’ve drafted a plan to scale the QA function, including staffing needs and tooling investmentsComp and Benefits $130,000-$185,000 a year plus equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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At Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. We’re building a brand new product, and this is your chance to join as a founding engineer. In just a few months, we’ve already hit product-market fit and closed six-figure deals with a clear path to much bigger contracts. We’re not starting from scratch either: our existing product has generated millions in revenue. Now, we’re evolving that user base toward our agentic future while consistently bringing in new customers.You’ll work in a small, nimble team tackling challenging, ambiguous problems at the cutting edge of technology and learn something new every day. We believe the effort and raw hours you put in directly shapes the outcome. Speed matters, and we move with focus and intent.Projects you might work onMulti-agent architecture - Build and refine how multiple agents collaborate to solve complex workflowsEvals Engine - Provide users with a powerful toolkit to quickly bring automations to production-grade reliabilityFeedback-driven learning - Capture user fixes in real time and teach agents to improve themselves automatically on the next runAuthentication - Build seamless login and 2FA flows that let agents capture a session once and securely reuse it throughout the platformAbout youHave 3+ years of software engineering experience at a fast-paced startup, mostly in TypeScript and ReactHave been coding outside of work for 5+ years, through side projects, open source, and more recently, AIHave a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.Studied Computer Science (or related field), or dropped out to build stuffWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa RicaTech stackTypeScriptBackend: Node, AI SDK, Hono, Drizzle, Postgres, and RailwayFrontend: Next.js, Shadcn, Tanstack, Tailwind, Zustand, and Vite

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Why We Need You: We are looking for a seasoned Senior Staff Software Engineer to architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices. You'll provide technical leadership and mentorship, while optimizing system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.

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At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.   About our Enterprise Team:  We’re looking for an Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI.   Responsibilities: Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers Work across the entire product lifecycle from conceptualization through production Build features end-to-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Influence the culture, values, and processes of a growing engineering team Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred Proven success in leading, managing, and developing high-performing Engineering teams Expertise in identifying product engagement patterns and trends for large scale consumer products Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City. 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.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:$212,000—$254,400 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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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.  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. Company Overview Based in the beautiful mountains of Park City, Utah, AtlasRTX is revolutionizing how companies engage their customers and stakeholders using AI, mobile messaging, and machine translation to create modern customer experiences. AtlasRTX helps identify key opportunities, leveraging our technology, to reach customers more efficiently and effectively. Why AtlasRTX? AtlasRTX is passionate about creating a diverse environment. We encourage applications from candidates of every race, color, religion, gender, identity, sexual orientation, national origin, disability, age, or veteran status. We are proud of our co-founder team culture that prioritizes inclusion, kindness, and achievement. We give deserving people a chance to make a difference, and invest in growing them personally & professionally. Our culture is our advantage. #CoFounderCulture. Job Summary Join our founding team and help us revolutionize how companies engage their customers and stakeholders using AI, mobile messaging, and machine translation to create modern customer experiences. AtlasRTX is looking for a super talented Software Engineer with at least 3 years of experience. You will be working with a world-class, 100% software-as-a-service conversational AI and messaging platform. We are looking for pros who are excited about both defining and enhancing our client processes and experiences. Software Engineers will work closely with the implementation and client success teams to support the implementation of software systems, develop technical solutions, address our client’s needs, and provide proactive suggestions and answers to improve client’s use and satisfaction. Responsibilities Strategize and participate in conversational design Implement, train, and test conversational experience using best practices Analyze, test, and improve the conversational experiences on an ongoing basis Qualifications Bachelors degree in computer science or related field 3+ years of software development experience Programming skills in .NET Relational database (SQL) background  Skilled in web, API, Microsoft Azure or related Experience in JavaScript, Data Science, NLP and AI Bonus Skills SignalR Service-bus queues Telephony and communications CI/CD pipelines Infrastructure-as-a-service DevOps    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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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview Speechify's Studio is one of our latest products addressing creators' needs to create human-sounding voiceovers with AI text-to-speech, dub videos, clone their voice and more.  This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Build and maintain Speechify's Creator Studio found at speechify.com/studio Integrate AI models to provide state of the art voiceovers, dubbing, voice cloning and more An Ideal Candidate Should Have Experience with AWS/GCS and be able to build service architectures leveraging these services Experience building scalable architectures using micro services Experience writing testable code and pushing the bar higher on testing infrastructure Proficiency with React and modern React stack, or NodeJS, or both Understanding low-level JS and be able to profile and optimize SPA FE/backend performance Preferred: video and audio processing experience What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).About the roleForward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems,You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap.Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution.This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role you willOwn technical delivery across multiple deployments from first prototype to stable productionBuild full-stack systems that deliver customer value and sharpen how we learnEmbed closely with customer teams, understand their needs, and guide adoption of what you buildScope work, sequence delivery, and remove blockers earlyMake trade-offs between scope, speed, and quality; adjust plans to protect deliveryContribute directly in the code when progress or clarity depends on itCodify working patterns into tools, playbooks, or building blocks that others can useShare field feedback that helps Research and Product understand where the models succeed and where they can improveKeep teams moving through clarity and follow-throughYou might thrive in this role if youBring 5+ years of engineering or technical deployment experience that includes customer-facing workHave scoped and delivered complex systems in fast-moving or ambiguous environmentsWrite and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacksHave built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experienceSimplify complexity and make fast, sound decisions under pressureCommunicate clearly with engineers, product teams, and customer stakeholdersSpot risks early and adjust without slowing downModel calm and judgment when the stakes are highAbout 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 roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from Prague on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleYour job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see that our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be building both smaller examples that you can find in our Cookbook but also bigger projects like Fragments or AI Analyst.This role requires a high amount of creativity and ability to finish the projects by taking them from 0 to 1.Ready to be the voice of E2B and inspire thousands of developers to build with our product? This San Francisco-based role requires engineering skills and excellent communication skills to help developers unlock the full potential of E2B. As a Developer Relations Engineer, you'll be deep in the AI ecosystem, educating devs about E2B use cases, sharing our vision through demos and content, and helping shape the company brand. You'll get to build and hack on the latest hot things in AI, translate complex technical concepts into accessible examples, and gather feedback from the community to influence our product roadmap.Examples of responsibilitiesExamples and guides showing E2B features and integration with various LLMs, frameworks, and AI toolsOwning the E2B CookbookResearching the latest trends in the AI space and coming with project ideasRecording a demo video about a new featureCollaboration with AI companies in the ecosystem on examples, content, eventsDemo examples with E2B at meetups or conferencesTalking to developers online and offline about E2B and make them excited about building with the productBeing active on X and follow the latest advancements in the AI dev tools, LLMs, and agentsWhat we’re looking forEngineering experienceExperience in Python an JavaScript/TypeScripptExperience with AI and LLM-powered productsExcellent communication skillsExcited to work in person from San Francisco on a devtool productDetail orientedExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the teamWhat it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Terka (Marketing, Growth, DevRel). We’ll learn about you, your work experience, and what you’re looking for to make sure this would be a good fit for both of us.30-minute call with Vasek (CEO).Technical assignment. The (paid) assignment should take up to 3 business days and it will test your technical and communication skills.Decision and potential offer.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. We're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs. You will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements. What You'll Do:Architect, design, and implement distributed storage solutions optimized for AI workloads.Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.Evaluate and benchmark storage technologies to meet demanding AI performance requirements.Collaborate with engineering teams to integrate storage solutions with cloud product offerings.Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.Provide mentorship and technical leadership to storage and infrastructure engineers.About You:Proven experience (7+ years) designing and implementing distributed storage systems.Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).In-depth knowledge of underlying hardware systems supporting storage deployments.Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.Experience working with high-performance and high-availability storage solutions.Familiarity with object, block, and file storage protocols.Ability to identify, analyze, and resolve complex technical issues.Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.Nice to Have:Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).Familiarity with container storage solutions and orchestration.Experience managing storage in large-scale cloud environments.Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).Salary Range InformationBased on market data and other factors, the annual salary range for this position is $349,000-$465,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from San Francisco on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleAs a customer engineer, you’ll be helping our customers effectively integrate E2B into their products.What we expect from you3+ years of experience in customer-facing roles with a technical backgroundExcellent communication skills and being highly detail-orientedExperience with Python, JavaScript, TypeScript, LLMs, AI tools (AI SDK, LangChain, crewAI, and popular web frameworks (e.g. Next.js)Experience with support ticketing systemsUpdating technical documentation to help future customersRelaying customer feedback to the rest of the teamWhat it’s like to work at E2BWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We have 7-figure revenue and work directly with customers from the top-tier AI companies such as Perplexity, Hugging Face, and more exciting names.We cover full healthcare, vision, and dental insurance and offer unlimited PTO.Hiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up within 24 hours after each stage.30-minute screening call. We’ll learn about you, your work experience, and what you’re looking for to make sure this would be a good fit for both of us.30-minute call with Vasek (CEO).Assignment. The (paid) assignment should take up to 3 business days and it will test your technical and communication skills.Decision and potential offer.

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Job Description:Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions. As an entry-level Software Engineer on the Test Engineering team, you’ll support the development of software used to automate hardware testing and data collection. You’ll contribute to internal tools and infrastructure that help ensure our test systems are scalable, efficient, and reliable. This is a great opportunity to gain hands-on experience working at the intersection of software and hardware, supporting critical testing for next-generation aerospace systems.

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At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. About the job: Vanta’s Developer Experience team builds the tools engineers use every day to bring ideas to production rapidly and reliably. You’ll empower other Vanta engineers to leverage cutting-edge technologies and best practices to make Vanta more performant and scalable on a platform level. Example projects include modernizing our CI/CD pipelines, introducing new test frameworks, launching AI-powered dev tools, and scaling developer environments to support a growing engineering team.This team has a wide breadth of impact across all of product engineering. The work we do compounds in value by making it easier for engineers to diagnose and solve bugs, streamline workflows, and ship value to our customers quickly and safely.Vanta engineers design and develop new product functionality and infrastructure leveraging modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, Github Actions, and various AWS services such as Fargate and ECS.Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We’d love for you to join us!You will: Set direction for critical dev infrastructure, enabling us to stay ahead of continued rapid growthDesign and build CI and build systems that ensure Vanta engineers can develop and ship robust products quickly and confidentlyImprove the efficiency and reliability of our deployment workflows, including tools for hotfixes, rollbacks, and incident mitigationLead development of tools that accelerate feedback loops — from typechecking and linting to running tests and deploying changesBuild and maintain scalable development environments, test infrastructure, and core dev toolingIntroduce and scale AI-enhanced developer tools that help engineers move faster, write better code, and reduce toilWork with talented and kind engineers to make a significant impact on our customer base, enabling them to improve their security and prove itContribute to building Vanta’s engineering culture as we grow How to be successful in this role:You’ve played technical leadership roles on DevEx or platform teamsYou have experience with build systems, CI/CD, and scaling developer workflows in fast-growing environmentsYou care deeply about performance, reliability, and usability, especially in tools used daily by engineersYou’re thoughtful about trade-offs and have good product sense when building internal tools What you can expect as a Vantan:Industry-Competitive Salary and Equity100% covered Medical, Dental, and Vision Benefits with Dependents Coverage16 Weeks Fully Paid Parental Leave for All New Parents (Moms, Dads, Adoptive, Foster)Health & Wellness StipendRemote Workspace Stipend401(k) Matching PlanFlexible Work Hours and LocationOpen & Encouraged PTO Policy11 Company Paid HolidaysFree Memberships to Online Wellness Platforms (One Medical, Ginger, Headspace, and more!) Virtual Team Building Activities, Lunch and Learns, and other Company-Wide EventsOffices in SF and NYC with Hubs of Vantans forming across the US, including but not limited to, Seattle, Austin, Indianapolis, LA, Boston, and more! At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security.From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.