AI Engineer (Private Credit)

Are you a software engineer who already builds using AI every day (agents RAG LLM tooling) and wants to own a production AI platform end to end at a $10B private credit investment firm in Midtown Manhattan

My client a mid-size private credit firm is adding the second engineer to its AI data platform team: a net-new seat not a backfill reporting directly to the engineer who built the platform now used across the firm.

If you are ready to be the person who builds and ships them into production for a firm that will actually use them this is the role for you.

Whats the Job

My client has built a production AI platform that supports the firms investment process including automated investment memo generation due diligence questionnaire (DDQ) automation and retrieval over complex financial documents. The business case is document volume: the firm may receive thousands of documents from a company it is underwriting a loan for and the platform has to read them summarize them extract what matters and generate new documents from what it finds.

You will be the teams second engineer working alongside its lead and directly with investment investor relations and operations professionals. Day to day you will:

• Own and extend production AI systems including the investment memo pipeline DDQ automation and the RAG infrastructure over financial documents.

• Build provenance tracking source attribution and review workflows so investment professionals can verify generated output against source documents.

• Build and maintain the platforms agent infrastructure: harnesses skills subagents and tool integrations.

• Run projects end to end: design implementation deployment and ongoing production support.

• Translate the workflows of non-technical stakeholders into tools they will actually rely on.

Compensation

• Base salary of $200000$250000 commensurate with experience plus a discretionary bonus

• Fully paid health dental and vision premiums including dependents

• Unlimited PTO within reason

Qualifications

• 35 years of professional software engineering experience with strong fundamentals in one or more of Python TypeScript/JavaScript Rust or Go. There is flexibility on years for an exceptional engineer with a strong track record of shipping.

• Minimum: You use AI coding tools (Claude Code Cursor Codex or similar) as your primary development mode and run development end to end through them including writing testing quality and deployment with strong judgment about verifying what the model produces.

• Better: You have also built AI tools for end users such as chatbots or LLM-driven automation of business processes.

• Best: You have built the platform itself: RAG infrastructure and data ingestion and the agent layer that sits around the model.

• A demonstrated record of independently designing building and shipping production software.

• Financial services or another document-heavy compliance-sensitive domain is preferred; vector databases document parsing and Anthropic/OpenAI agent SDKs are a plus.

• Genuinely strong verbal and written communication. This is a 50-person firm and you will work directly with investment professionals and the COO.

• No finance background is required but this is a finance culture rather than a startup culture and you should want that.

• This is an engineering role. It is not a fit for data scientists or quantitative researchers/analysts.

• Applicants must be legally authorized to work in the United States on a full-time basis. My client is unable to sponsor or take over sponsorship of an employment visa now or in the future.

Location

New York City five days a week in the office with work-from-home Fridays in the summer and flexibility around holiday weeks.

Who are They

My client is a private credit investment firm with more than $10B in assets under management providing bespoke credit solutions to stakeholders and management teams of U.S. middle-market companies that need capital for growth acquisitions operational challenges or financial distress. The firm has 50 employees and is currently raising its fourth fund.

The hiring manager spent his career in machine learning at a leading AI software company and a global bank before joining roughly two and a half years ago and he built the internal platform this role will help scale. The firm has had no voluntary turnover in five years.

To learn more apply here today or email me at: .