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David Careers

Backend Python/AI Engineer

Posted today

new york technology partnersWhite Plains (NY)
Software DevelopersCustom Computer Programming Services

SENIORITY

Senior

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About the role

Role Summary: We are looking for a hands-on backend engineer to build the plumbing that connects AI models to BXMA's data and documents: Model Context Protocol (MCP) integrations, Snowflake plug-ins, and pipelines that process first-party research (investment memos, financial models and call notes) so it can be searched, summarized and used safely by AI tools.
What You Will Do:
  • Design, build and maintain MCP servers and integrations that expose BXMA data sources and internal applications to AI assistants and agents
  • Develop Snowflake plug-ins and data access layers (SQL, Snowpark, Cortex or similar) with proper entitlements and governance
  • Build document-processing pipelines for first-party research (memos, Excel models, call notes, PDFs, Word documents): parsing, chunking, metadata and entity tagging, embeddings and retrieval (RAG)
  • Ship production-grade services: APIs, testing, CI/CD, monitoring, logging, and cost and performance tuning
  • Provision and manage cloud infrastructure as code (e.g., Terraform on AWS)
  • Partner with investment, risk and operations users to turn workflows into reliable AI tools, and evaluate output quality
  • Document work thoroughly and support knowledge transfer to employees over time
Must-Have: Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics or a related field, with 3–7 years of professional software engineering experience Strong Python, with experience building backend services and REST/streaming APIsHands-on experience with LLM application development: tool/function calling, RAG, embeddings and vector search, and prompt and evaluation design (MCP experience strongly preferred) Solid SQL and data-engineering skills; Snowflake experience strongly preferred Experience extracting structured data from unstructured documents (PDF, Word, Excel) Cloud experience (AWS preferred), containers and Git-based CI/CD; Terraform or similar infrastructure-as-code tooling Clear communicator who can work directly with non-technical business users Strongly Preferred Hedge fund, multi-asset or asset-management experience (e.g., familiarity with portfolio, risk, P&L, fund and manager research data, investment memos and models); this is a priority where possible Experience in regulated financial-services environments, including data entitlements, security and auditability Exposure to agent frameworks, LLM evaluation and observability tooling, or enterprise AI platforms (e.g., Microsoft 365 Copilot, Anthropic or OpenAI APIs) TypeScript/Node.js experience
What Success Looks Like:
  • (First Six Months)
  • Production MCP integrations live for priority BXMA data sources
  • Snowflake-backed AI data access in use by at least one investment or operations team
  • A repeatable pipeline processing first-party research documents, with measurable retrieval quality
  • Code, runbooks and documentation in place to support transition to the internal team

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A number in mind

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Your notice period

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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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