About Farsight
Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Today, institutions will spend 80% of their time gathering information for and creating first drafts of materials by hand before iterating on and refining their decks, models, and pitches. We not only give them that time back to focus on what is important, but we also bring new insights and knowledge to their materials that they wouldn’t be able to uncover without the help of our financial-focused AI.
Our Team
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!
We are entirely based in Manhattan, New York City, and are in-person 4 days a week (except Fridays, which are remote).
Job Description
As a AI / ML Engineer at Farsight AI, you'll play a critical role in advancing our state-of-the-art AI platform. You will:
- Lead projects focused on integrating and optimizing large language models (LLMs), embedding models, and semantic retrieval systems within our products.
- Design, build, and deploy sophisticated multimodal retrieval and agentic systems that deliver powerful insights from unstructured and structured financial data sources.
- Drive the next generation of agentic capabilities within the Farsight platform, with an emphasis on composability, advanced function calling, and modular AI orchestration techniques.
- Continuously refine our retrieval methodologies and AI outputs by actively leveraging customer feedback, ensuring high accuracy and relevance.
- Explore innovative approaches and rapidly prototype new AI-driven features, directly impacting major financial firms’ workflows.
Desired Qualifications
- 2+ years of experience deploying machine learning models in production.
- Demonstrated experience integrating closed-source LLM APIs and fine-tuning open-source models
- Proven expertise with embedding models and semantic retrieval systems such as Pinecone, Weaviate, FAISS, Chroma, PGVector, etc.
- Experience developing multimodal retrieval solutions that integrate diverse data types, including textual, numerical, and structured data.
- Strong Python proficiency, including practical knowledge of frameworks like Hugging Face, PyTorch, TensorFlow, or LangChain.
- Passion for staying current with cutting-edge AI research, tools, and industry trends.
Above and Beyond Qualifications
- Prior experience building or optimizing AI agentic systems leveraging function-calling, orchestration frameworks, and modular architectures.
- Deep familiarity with financial data retrieval challenges and techniques
- Demonstrated experience in performance tuning, scalability improvements, and reliability engineering for AI-driven retrieval systems.
- Entrepreneurial mindset or previous experience working in a high-growth startup environment.
- Knowledge of or interest in free-form generative AI capabilities and their application within complex business scenarios.
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.
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.
