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# AI Engineer

- **Company:** Farsight AI, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Machine Learning, Reliability Engineering, Data Ingestion, Large Language Models
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5dbd77c1957345fe

## About the Role

* 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., * 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.

## Description

As 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.


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