Full Stack Engineer, Agentic AI

4–6 years of experience as a Full Stack Engineer working with TypeScript, React, Node.js, Python or Go. Experience with generative AI in areas like image or video generation. Proven experience shipping production software across the stack. Strong experience hosting, tuning, and managing LLM services, libraries, or tools. Experience working with agentic workflows, including creating and using MCP servers. A track record of building AI-powered features such as information extraction, chatbots, document construction, search, data normalization, etc. Familiarity with prompt engineering and structured experimentation workflows. Experience fine-tuning LLMs using open-source models or closed-source services. Confidence in setting up testing infrastructure around agentic applications. Comfort working with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker, etc. Previous experience in consulting or contracting roles, with the ability to manage client expectations and timelines.

Engage with clients to understand their problems, needs, goals, and technical environments. Architect, build, and ship full stack applications that leverage AI and data capabilities. Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability. Design and build scalable data pipelines and data lakes as needed. Communicate tradeoffs and risks transparently, supporting client decision-making. Collaborate with other engineers and cross-functional teams to deliver impactful results. Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.