AI/ML Engineer

Farsight AI•New York, NY

1d•$150,000 - $220,000•Hybrid

About The Position

As an AI 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. You will design, build, and deploy sophisticated multimodal retrieval and agentic systems that deliver powerful insights from unstructured and structured financial data sources. You will drive the next generation of agentic capabilities within the Farsight platform, with an emphasis on composability, advanced function calling, and modular AI orchestration techniques. You will continuously refine our retrieval methodologies and AI outputs by actively leveraging customer feedback, ensuring high accuracy and relevance. You will explore innovative approaches and rapidly prototype new AI-driven features, directly impacting major financial firms’ workflows.

Requirements

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.
Ability to thrive in ambiguous environments, independently scoping and executing projects end-to-end.
Excellent communication skills, fostering effective collaboration across technical and business teams.
Valid U.S. work authorization

Nice To Haves

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.

Responsibilities

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.