Staff Software Developer – AI Products

Role overview

Workplace

• The posting describes this as a deliberately hybrid role.

What you’ll do

• Design and build server-side services and APIs using FastAPI.
• Design and build modular agentic workflows to augment FME platform capabilities.
• Follow developments in AI and LLM tooling and incorporate relevant ideas into products.
• Contribute across the development cycle, including specifications, maintainable code, unit and integration tests, code reviews, and ongoing maintenance.
• Collaborate with teammates and product, design, and QA colleagues; share expertise.
• Improve AI service build and delivery to reduce query latency and improve assistant response quality.
• Investigate and resolve anomalies and bugs in live applications.
• Participate in a light on-call rotation for live application support.
• Lead technical decisions and develop new features while maintaining existing functionality.

Qualifications and skills

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• Typically at least 7 years of experience working on production backend systems.
• Track record of leading technically ambiguous projects and raising the capability of other engineers.
• Experience with agentic LLM-based applications, including RAG, prompt and context engineering, and tool calling.
• Experience evaluating LLM systems by building evaluation sets, defining quality metrics, and tracing and debugging non-deterministic behavior.
• Depth in at least one modern backend language and ability to learn others as needed; modern backend framework experience such as FastAPI.
• Empirical mindset; comfort designing and running experiments to reach decisions.
• Able to explain technical tradeoffs clearly; strong organization, prioritization, resourcefulness, and teamwork.
• Desired: familiarity with LLM evaluation libraries such as Ragas, DeepEval, openevals, promptfoo, Inspect, or TruLens.
• Desired: experience with observability and tracing tools such as LangSmith, Langfuse, Braintrust, or Arize Phoenix.
• Desired: statistical literacy, ML or data science background, or familiarity with FME, ETL tools, spatial data processing, or data integration.