Demo

Back End Engineer

Eleven Recruiting
York, NY Contractor
POSTED ON 6/26/2026
AVAILABLE BEFORE 8/21/2026

About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place.


Our client, a leading investment firm, is seeking a Full Stack Engineer to join their team in New York, NY! This individual will collaborate with stakeholders to deliver scalable technology solutions.


Responsibilities:

  • Design, implement, and operate user-facing tools that deliver measurable workflow gains for CRE use cases.
  • Build and maintain Retrieval-Augmented Generation (RAG) systems that allow users to query thousands of IC memos and investment documents using natural language.
  • Develop workflows to extract structured deal information from IC memos using LLM agents, standardizing data from documents with varying formats.
  • Implement document processing pipelines that chunk, embed, and store investment memo data into a vector database to support semantic search and retrieval.
  • Integrate LLM APIs (e.g., OpenAI, Anthropic) to support query processing, contextual retrieval, and response generation based on relevant document embeddings.
  • Build backend microservices that orchestrate the RAG pipeline, including document ingestion, embedding generation, retrieval logic, and LLM inference.
  • Develop libraries and APIs to support consistent, reusable patterns across AI-powered applications and internal tools.
  • Partner with stakeholders across investment, engineering, and data teams to gather requirements and rapidly prototype new AI-driven workflows.


Qualifications:

  • Bachelor’s in Computer Science, Operations Research, or similar field.
  • 5 years’ experience in full-stack engineering.
  • Strong Python development skills.
  • Demonstrated experience designing and implementing Retrieval-Augmented Generation (RAG) systems or similar AI-powered search solutions.
  • Experience integrating LLM APIs and handling prompt design, token/latency/cost trade-offs, and structured outputs (function/tool calling).


Pay Rate: $65.00 - $85.00/hr

Salary : $65 - $85

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