Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As an AI Engineer at Farsight AI, you'll play a critical role in advancing our state-of-the-art AI platform by designing, building, and owning agentic systems that produce client-ready financial deliverables.
Responsibilities
- 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.
Requirements
- 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.
- 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.
- Valid U.S. work authorization required.
- Background check and employment verification may be required.
Skills
- Machine learning
- LLM systems
- Agentic systems
- Function calling
- Tool use
- Orchestration
- Reliability engineering
- LLM evaluations
- Retrieval systems
- Unstructured data
- Structured data
- Document analysis
- AI-assisted development
- Python
- Frontier model APIs
Location
- Manhattan, New York City
Work Type
- In-person 4 days a week
- Remote Fridays
Experience Level
- 2+ years of experience deploying machine learning or LLM systems in production
Salary/Compensations
- $200,000 to $300,000 annually
Benefits
- Comprehensive medical, dental and vision insurance
- Unlimited PTO
About the Company
- Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows.
- Our team has had a wide range of experience that uniquely equips us to capture this massive opportunity. Our team comes from leading financial institutions like Evercore, General Atlantic and Menlo Ventures, supercharged by scalable engineering and AI skills from companies including Amazon, Hugging Face and the MIT Media Lab. We've learned the ins and outs of building successful startups from previous work as founders and founding engineers. We focus on hiring the best so that we can become the best, so we hope you apply!
Equal Opportunity
- Farsight is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories consistent with applicable federal, state, and local law.