Summary
A private credit investment firm is looking for a Software Engineer to help build and scale the production AI platform behind its investment process. This is a rare chance to work hands-on with agents, RAG, and LLM tooling at the center of a real investment workflow, not on the sidelines.
Company Information:
A private credit investment firm providing bespoke credit solutions to U.S. middle market companies navigating growth, acquisitions, and financial transitions.
Job Description:
- Own and extend production AI systems, including the investment memo pipeline, due diligence questionnaire (DDQ) automation, and retrieval (RAG) infrastructure over financial documents
- Develop provenance tracking, source attribution, and review workflows that let investment professionals verify generated output against source documents
- Build and maintain the platform’s agent infrastructure, including harnesses, skills, subagents, and tool integrations
- Manage projects end-to-end, including design, implementation, deployment, and ongoing production support
- Partner with investment, investor relations, and operations professionals to translate their workflows into reliable tools
Requirements / Qualifications:
- 3-5 years of professional software engineering experience with strong fundamentals in Python, TypeScript/JavaScript, Rust, or Go
- Hands-on experience with LLM application patterns, including agents, prompt and context engineering, retrieval-augmented generation, vector search, and evaluation frameworks
- Proficiency with AI-assisted development tooling (e.g., Claude Code, Cursor) as a primary development mode
- Demonstrated record of independently designing, building, and shipping production software
- Experience in financial services or other document-heavy, compliance-sensitive domains preferred
- Strong verbal and written communication skills, with the ability to work directly with senior, non-technical stakeholders
- Exceptional attention to detail, analytical, and organizational skills
- Collaborative team player who is resourceful, proactive, and eager to learn in a fast-paced environment
