StaffSoftwareEngineer,AppliedAI

## Accountabilities Design and build agentic LLM pipelines that power AI-driven product features across the platform, ensuring scalability and production reliability. Develop full-stack applications using Python (FastAPI) and TypeScript/React to support AI-enabled workflows and user-facing tools. Build and maintain robust evaluation frameworks, including curated datasets, automated testing, regression detection, and performance benchmarking for LLM systems. Iterate on prompt engineering strategies and model usage, balancing accuracy, latency, and cost considerations. Enhance production observability by implementing feedback loops, monitoring accuracy signals, and improving system reliability over time. Partner with cross-functional product and engineering teams to identify opportunities for AI integration and guide implementation strategy. Provide technical direction on when and how to apply AI/LLM solutions effectively to maximize impact and avoid unnecessary complexity. Requirements: 5+ years of professional software engineering experience in production environments. Strong background in full-stack development, particularly with Python-based web applications (FastAPI or similar frameworks). Proven experience building and shipping agentic LLM workflows to production using orchestration tools (e.g., LangChain, LangGraph, or similar). Hands-on experience designing evaluation systems for LLM applications, including test datasets, eval harnesses, and regression tracking. Familiarity with prompt engineering and iterative LLM optimization practices. Experience working in fast-paced startup or 0-to-1 environments with high ownership and autonomy. Strong communication skills with the ability to drive alignment across technical and non-technical stakeholders. Must be legally authorized to work in the United States. Benefits: Medical, dental, and vision insurance with low-to-no-cost premium options. Employer-funded Health Savings Account (HSA) contributions. 401(k) retiremen