AI Full-Stack Engineer Jobs

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The Senior Full Stack Software Engineer is responsible for owning technical delivery end-to-end, shaping the architecture of ML-powered applications, and leading implementation across cloud services, APIs, and modern front-end frameworks with Claude Code, the Claude Agent SDK, and the Claude API integrated into design, building, and shipping processes. They act as the technical backbone of their project pod, balancing hands-on development with technical leadership, architectural decision-making, and client-facing collaboration. Responsibilities include reducing project risk through proactive ownership of epic-level design and execution, improving technical decision-making via research and evaluation of solutions including AI tooling, increasing client confidence by leading technical discovery sessions and acting as a technical SME, leading feature and epic-level implementation, leading architecture and solution design for moderately complex solutions, championing AI engineering best practices within the pod, providing mentorship and technical leadership including code review and hiring assistance, engaging with clients for technical discovery and scoping, and implementing higher-level testing and quality strategies for deployed solutions and LLM-powered features.

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Collaborate with senior developers to design, build, and test software solutions for the agricultural sector. Contribute to coding, debugging, and documenting software applications. Assist in the development of new features from concept to deployment. Assist in research and development to improve the AI powered Assistant. Help optimize and improve the performance of existing software systems. Participate in code reviews and contribute to development process improvements and best practices. Test software functionality and troubleshoot issues. Collaborate with cross-functional teams such as product managers and data scientists to align technical solutions with business objectives. Stay updated with trends and technologies in software development and agriculture.

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You will own features end-to-end, holding a piece of work from contract through rollout across whichever surfaces it needs to touch, including the TypeScript/Node backend, the iOS app, the Android app, or all three. You will deliver the entire feature rather than handing off parts outside your domain. Early tasks include shipping meaningful production code on one of the products, defining and defending API contracts with mobile and design teams before implementation, and iterating on those contracts. You are expected to develop a point of view on the team's workflow and address inefficiencies, working across stack boundaries to deliver complete features and get them in front of real users.

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Build and improve production RAG and LLM-based systems. Design and maintain data pipelines that integrate enterprise data sources at scale. Develop full-stack product features end-to-end, from Python backend through React/TypeScript frontend. Work on optimization and scheduling problems with real operational constraints. Build evaluation frameworks that measure whether AI systems are actually improving.

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The Application Engineer will dream up, build, and ship LM Studio features to millions of users worldwide, working swiftly. Responsibilities include intermixing UI work with systems engineering, design, and applied AI/agentic engineering work. The role requires a holistic understanding of software systems and the ability to work across the stack, involving building software products and crafting product experiences.

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As a Senior Software Engineer, Agents, you will dream up, build, and ship LM Studio features to millions of users worldwide at a fast pace. Your work will involve intermixing UI work with systems engineering, design, and applied AI / agentic engineering. You will be expected to have a holistic understanding of software systems and the ability to work across the stack. The role includes building software products and crafting product experiences with a scientific method mindset. The position is in-person in the New York City office.

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Design and deliver production-grade AI agents that are central to Sierra's growth, ensuring they are highly performant, reliable, and scalable in production environments across industries such as finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) with complete ownership and autonomy from initial pilot through deployment and continuous iteration, building, tuning, and evolving AI agents in production and defining ADLC best practices. Partner directly with leaders at large enterprises and cutting-edge startups to understand their business challenges and build AI agents that transform operations at scale. Build the future of Sierra's platform by gathering customer feedback, prototyping new tools and features, and collaborating with research, product, and platform teams to enhance AI agent development and Sierra's product. Work on projects including designing AI agents to manage subscription churn, developing agents for complex customer interactions, creating industry-specific AI agent frameworks, facilitating design partnerships for new product initiatives, and experimenting with latest voice models for enterprise-grade integration.

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Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, driving revenue directly to Sierra's growth. Take complete ownership of the Agent Development Life Cycle (ADLC) from initial pilot through deployment and continuous iteration, including building, tuning, and evolving AI agents in production environments while defining best practices. Partner directly with leaders of large enterprises and cutting-edge startups to understand business challenges and build AI agents that transform operations at scale. Work with customers to guide the evolution of Sierra's core platform by surfacing unmet needs, prototyping new tools and features, and collaborating with research, product, and platform teams to shape the future of AI agent development and Sierra's product.

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Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) with complete ownership and autonomy from pilot through deployment and continuous iteration, building, tuning, and evolving AI agents in production and defining ADLC best practices. Partner with large enterprises and startups to understand business challenges and build AI agents that transform operations at scale. Build the future of Sierra's platform by surfacing unmet needs, prototyping new tools and features, and collaborating with research, product, and platform teams to shape AI agent development and product evolution.

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Manage and grow a high-performing team of engineers, fostering a culture of technical excellence, high agency, and pragmatic delivery. Lead the execution of intake, review, and archive agents responsible for automated extraction of contract-relevant metadata. Actively participate in the codebase by helping to spec, design, and build front-end agentic interfaces and orchestration layers that interface with large language models (LLMs). Own and improve existing core systems powering these workflows to ensure scalability, reliability, and maintainability. Lead by example in adopting AI tooling to improve engineering velocity and code quality. Partner with Product and Design to define strategic roadmaps and manage cross-team dependencies for complex legal use cases. Work with Quality Engineering to define testing strategies for non-deterministic AI outputs to ensure agents are production-grade.