Job DescriptionAs an AI Engineer at Farsight AI, you'll play a critical role in advancing our state-of-the-art AI platform. You will:
- Design, build, and own agentic systems that produce client-ready financial deliverables - decks, models, and memos - end to end, from data ingestion to polished output.
- Build the evaluation and quality systems behind generated deliverables: deterministic document checks, model-judged review, grounding and fidelity verification, and regression suites for non-deterministic outputs.
- Turn proprietary data from our platform and customers into evidence-backed insight - building pipelines that discover, quantify, and verify patterns, and feed them back into how our systems draft and check.
- Build and refine the retrieval systems that ground our deliverables in unstructured and structured financial data, ensuring every number and claim traces to its source.
- Drive the next generation of agentic capabilities on the Farsight platform - composability, advanced function calling, and modular orchestration.
- Shape what we build next: ideate directly on customer value, and help prioritize across time-to-market, execution risk, and impact.
Desired Qualifications- 2+ years of experience deploying machine learning or LLM systems in production.
- Experience building agentic systems: function calling, tool use, orchestration, and the reliability engineering that keeps multi-step systems on the rails.
- Experience building and validating evaluations for LLM systems. You know why "ask a model to rate it 1-10" isn't an answer.
- Experience building retrieval over unstructured and structured data, and working with documents as structured artifacts (mixed text, numeric, and tabular content; document formats and their internals; rendered-output analysis).
- A real, evolving AI-assisted development workflow, with a verification story proportional to what you delegate.
- Strong Python proficiency and deep, current fluency with frontier model APIs and their capabilities.
Above and Beyond Qualifications- Experience evaluating generated documents or other complex, client-facing deliverables - especially combining deterministic checks with model-based judging.
- Experience extracting reliable, quantified patterns from large, noisy real-world datasets - discovery pipelines where every claimed finding traces back to specific evidence.
- Deep familiarity with financial data, documents, and workflows.
Compensation & Benefits- Salary range: $200,000 to $300,000 annually, commensurate with experience.
- Comprehensive medical, dental and vision insurance
- Unlimited PTO
Note: You'll need valid U.S. work authorization to join us.
Please note that a background check and employment verification may be required for this position. We may obtain one or more background screening reports about you, solely for employment purposes.
