AI Full Stack Developer
About The Position
Obra Capital is a growing credit-focused investment manager 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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- performance-based cash bonuses tied to individual and fund results
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
