What are the responsibilities and job description for the AI Full Stack Developer position at Obra Capital?
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.
What You’ll Do
What We’re Looking For
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.
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.
What You’ll Do
- 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
What We’re Looking For
- 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.
Salary : $150,000 - $220,000