AI Full Stack Developer

 

Obra Capital is seeking a pragmatic, product-minded Full-Stack Developer to help build our next generation of internal AI tools. You will bridge the gap between our financial data and our users — building intuitive React interfaces, robust Python backends, and Retrieval-Augmented Generation (RAG) pipelines that turn complex proprietary data into actionable insight for our analysts and traders.

This is a high-impact role for an engineer who is comfortable owning features end-to-end and who takes pride in building reliable, well-crafted software. We aren’t looking for an AI researcher; we need someone who can ship real products around LLMs and make them genuinely useful to the people who depend on them every day.

BELOW ARE A LIST OF RESPONSIBILITIES AND QUALIFICATIONS:

Responsibilities:

  • Build and maintain scalable internal web applications using Python (FastAPI/Flask) and React, from database architecture through to front-end interfaces

  • Implement and optimize RAG systems to extract insights from internal financial documents and proprietary data sources

  • Write complex, performant SQL queries to interface with our relational databases, and design and manage Vector Databases for AI retrieval workloads

  • Build internal features that accurately handle and display sensitive financial data — positions, P&L, Mark-to-Market valuations — for our analysts and traders

  • Work closely with investment, operations, and technology teams to translate business requirements into working, production-quality software

  • Support ongoing system improvements, troubleshooting, and optimization of existing applications and pipelines

  • Contribute to documentation, testing, and development best practices as our engineering function matures

Qualifications:

  • 3+ years of production experience with Python and modern JavaScript (React)

  • Strong SQL skills are an absolute must — comfortable writing and optimizing complex queries against relational databases

  • Working knowledge of RAG architectures, LLM APIs, and tooling such as LangChain or LlamaIndex

  • Familiarity with financial concepts such as P&L, Mark-to-Market, and Security Master records — or a proven track record of learning complex business domains quickly

  • Excellent communication skills; comfortable working with both technical and non-technical stakeholders

  • High degree of ownership: able to manage multiple priorities independently and deliver quality results in a fast-paced environment

  • Familiarity with C#/.NET for occasional integration with existing internal systems

  • Prior experience in financial services, asset management, or a closely related environment

  • Experience with Vector Databases (e.g., Pinecone, Weaviate, pgvector) in a production setting

 

In accordance with New York State Pay Transparency Law, the base salary range for this position is $150,000 – $220,000 per year. Base salary does not include additional compensation such as performance-based cash bonuses tied to individual and fund results. Offers are determined by candidate experience and geographic location.

 
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