Senior AI / ML Engineer

Role: Senior AI/ML Engineer

Location: New York City, 4 days a week onsite

Budget: $200-300k + equity

About the Company

An AI startup based in New York City is building a next-generation platform for the financial sector. Their product automates complex, high-value workflows for institutions like investment firms and advisory teams, delivering insights and outputs at a level that often exceeds human performance. They have received funding in the double digits of millions in their latest funding round.

The Team

The company is led by a high-caliber team with backgrounds in top-tier finance, venture capital, and leading AI research labs- with backgrounds in Computer Science from the best institutions in the country. They operate primarily in person from their Manhattan office, with Fridays remote.

The Role: Machine Learning / AI Engineer

This role involves shaping and scaling the core AI engine that powers the product. Responsibilities include:

* Leading integration and fine-tuning of large language models and retrieval systems.

* Building AI pipelines that work across structured and unstructured financial data.

* Developing modular, agent-based components using modern orchestration techniques.

* Iterating on model performance based on real-world user feedback.

* Prototyping and launching features that directly impact financial institutions.

* Collaborating across engineering, product, and customer teams to align outcomes.

Requirements:

Essential:

* 2+ years of experience deploying machine learning models in production.

* Proficiency with Python and ML frameworks (e.g., PyTorch, Hugging Face, TensorFlow, LangChain).

* Experience with LLM integration and fine-tuning.

* Familiarity with vector search tools (e.g., FAISS, Weaviate, Chroma, PGVector).

* Strong communication and the ability to execute independently in fast-moving environments.

Bonus:

* Experience building agentic AI systems using orchestration and function-calling frameworks.

* Familiarity with financial datasets and domain-specific challenges.

* Background in performance tuning and scaling AI pipelines.

* Prior startup or entrepreneurial experience.

* Interest in generative AI applications in complex business workflows.

I have placed 2 happy engineers at this company in the last couple months, and have great rapport with the CTO and ownership team!