Top AI Software Engineer Jobs Openings in 2025

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleWe are looking for full-stack and platform engineering interns who want to work on real production use cases of LLMs and help us scale to consumer and physician demand. You will take on a specific business problem and lead the prototyping, evaluation, and product integration of AI-powered solutions. Your responsibility will include exploring both established and emerging methods and determining what gets us to the best outcome. You will be expected to drive your project independently, but you will work closely with individuals on our Engineering, Data, GTM, and Operations teams to work through key decisions, get feedback, and launch your features.Fall internships are full-time at our office in NYC. In addition to working as part of our Engineering team, you will have the option to spend a portion of your time shadowing or working on a GTM-focused project with our GTM team or CEO.We are flexible on start date, with potential to extend beyond the Fall into the Winter/Spring semester.We need your help to:Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillmentCombining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answeringAutomating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platformsBuilding a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwinedScale across a growing range of drug classes, patient populations, and provider marketsMaking our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style)Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies)Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflowsUse our network to help biopharma partners accelerate drug development, launch, and accessTranslating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiationsDeveloping predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidiesUsing real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programsWe’ll be most excited if you have:An expected graduation date between 2026-2028 with a Bachelor’s degree (or higher) in Computer Science or a related technical fieldStrong programming skills and general Computer Science knowledgeProduct engineering experience such as building web apps full-stack, integrating with relevant APIs and services, figuring out what to build and then iteratingPrevious experience working on full-stack AI projects is a plusFamiliarity with or a desire to learn our stack is a plus (Python, React, Typescript, PostgreSQL, and Kubernetes)Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.  Requirements 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired) 5+ years experience writing high-performance, well-tested, production quality code Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP) Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN Experience with Cluster API or similar a big plus Experience working on high-performance compute, networking, and/or storage a big plus Experience virtualizing GPUs and/or Infiniband a big plus Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Experience building IaaS or PaaS systems at scale a plus Experience with DPUs/SmartNICs a plus GPU programming, NCCL, CUDA knowledge a plus  Responsibilities Perform architecture and research work for decentralized AI workloads Work on the core, open-source Together AI platform Create services, tools, and developer documentation Create testing frameworks for robustness and fault-tolerance   About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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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 an experienced AI Architect who is not only capable of strategic thinking but also enthusiastic about hands-on coding and contributing directly to both proof-of-concept (POC) and production-grade AI projects. The ideal candidate will play a key role in mentoring team members, establishing ethical and responsible AI practices, and making critical decisions around AI deployment strategies. A strong background in deploying AI solutions on cloud platforms such as Azure or AWS is essential, along with deep expertise in building secure, compliant data and machine learning pipelines. This role demands a proactive leader who can bridge the gap between innovation and execution while ensuring scalability, security, and governance in AI systems. How will you make an impact?   Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability. Lead the development of secure, compliant data and machine learning pipelines, ensuring alignment with data governance and regulatory standards such as GDPR. Design, develop, and implement AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentor and guide team members on AI technologies, best practices, and system architecture, fostering a culture of continuous learning and innovation. Collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. Establish and promote ethical and responsible AI practices across the organization. Take ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. Conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. Develop and maintain AI applications using modern frameworks (e.g., TensorFlow, PyTorch, LangChain, Haystack), and run experiments to evaluate and improve model performance. Define and implement AI project Software Development Lifecycle (SDLC) processes, including versioning, testing, validation, and monitoring strategies. Ensure AI systems are secure, scalable, and aligned with the company’s business strategy and compliance requirements. Stay current with advancements in AI, machine learning, and data engineering to continuously enhance system capabilities.   Have you got what it takes?   Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience as an AI Architect or in a similar senior AI/ML role, with a track record of deploying multiple AI solutions in production. Strong expertise in AI/ML technologies, including experience with RAG architectures and Vector Databases. Proficiency in cloud platforms such as Azure or AWS, with hands-on experience in deploying enterprise-grade AI solutions. Solid understanding of building and managing secure, scalable data and ML pipelines, with knowledge of data security governance and compliance (e.g., GDPR). Proficiency in programming languages such as Python, .NET, or similar, and familiarity with AI/ML frameworks and libraries. Experience with AI project SDLC, including model versioning, CI/CD for ML, and AI testing strategies. Familiarity with DevOps and Data Engineering tools and practices. Strong analytical and problem-solving skills, with the ability to work collaboratively in a fast-paced environment. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated commitment to continuous learning and staying up to date with the latest AI trends and technologies.    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: 7474 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 the TeamThe Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products. Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world.About the RoleAs a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for novel use cases.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.We will also consider candidates based in New York City, NY on a case-by-case basis.In this role, you will:Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.Use Terraform to stand up and evolve complex infrastructure for both research and production.Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications. You might thrive in this role if you: Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.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 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.   About the role Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]    Responsibilities Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports. Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness. Ensure the highest quality and performance standards for Appier products through rigorous testing. Accurately report and validate product bugs, driving continuous improvement. Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures. Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks.   About you [Minimum qualifications] Solid understanding of software development methodologies (Agile, Waterfall). Better in software testing processes, including test planning, test case development, and troubleshooting. Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team. Minimum 2 years of hands-on experience with at least one test automation tool  (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust). Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow. Experience integrating and utilizing CI/CD tools. Quick learner with good troubleshooting abilities and keep attention to detail. [Preferred qualifications] Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes) Excellent skills in data integrity tests or data quality. Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test) Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus) Experience in building automation testing for the architecture of micro-services Experience / Knowledge in the test for Big data, Machine Learning, Data analysis. Fluent English communication skills, both verbal and written.

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About the CompanyCanals is AI for distributors. AI-powered sales order entry that automatically turns customer emails into quotes, AI-powered accounts payable that automatically turns vendor emails into payables, AI-powered PO acknowledgement processing that automatically flags discrepancies in vendor confirmations vs your POs.No templates or part numbers needed. Our AI models are trained to handle a wide range of inputs, including email text, attachments, PDFs, CSV files, images, Word documents, and even handwritten notes. "I wouldn't work anywhere without this," is what users say. With data entry off their plate, your team can focus on work that matters: growing your business.Show your customers, suppliers, and team that you’re in business for the future, with operations that are faster and more accurate than ever before.About the RoleWe have a ton to do and need help to do it. Most of our work is on the backend, and we prefer generalists. We work in node, but we don't care if you don't have lots of node experience. Learning a new technology is not an issue for strong engineers.The interview process will include DSA-style live coding challenges.Tech StackTypescript, Node, Python(For the ML)Postgres, Elastic Search.DockerAWSSveltekitTailwind.We're just looking for 2 things:Get a lot done.Get it done well.Some of the qualities you'll need to be successful here are:Sense of Urgency. We run on a level of urgency that is Uncommon.Great Technical Talent.Good judgement. Meaning that you're going to receive autonomy and you need to do the right thing.Work Ethic/Motivation. Canals isn't fit for people looking for 9-5.Why Join usAn AI product that is actually useful and not just riding the bubble.Top 1% startup measured by time to revenue. You'll receive Equity.No runway. We're profitable.No accumulating tech debt, no bureaucracy. A culture of ''Just do it'' and prioritizing the long term.No VC, no chasing the next round. Just Laser focus in building a great company.Few meeting, just 2.5hs per week per engineer.Fully remote.Interview ProcessSilver screening Interview.Silver Technical Interview.Client Screening Interview.Client Live coding Interview.Client Technical interview.Client Behavioral Interview.

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