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Lead GenAI Data Engineer

Motion Recruitment

Boston (MA)

Remote

USD 130,000 - 175,000

Full time

3 days ago
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Job summary

A leading fintech company is seeking a Lead GenAI Data Engineer to enhance AI integration across their analytics platform. With a fully remote team, you'll design and build advanced AI pipelines while leading the deployment of LLM features in a growing and innovative environment.

Benefits

Strong engineering culture
Direct impact on product direction

Qualifications

  • 5-8+ years in data engineering, MLOps, or applied AI.
  • Proven experience deploying LLM-based features in production.
  • Strong Python skills and familiarity with relevant frameworks.

Responsibilities

  • Design and build end-to-end GenAI pipelines.
  • Lead integration of LLM-driven features into core products.
  • Manage and scale vector database infrastructure.

Skills

Python
MLOps
SQL
AI Integration
Data Engineering

Tools

LangChain
LlamaIndex
Pinecone
Weaviate
FAISS
AWS
dbt
Airflow
Docker
Terraform

Job description

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Location: Fully Remote (U.S. Only)

Industry: Fintech / SaaS – Private Markets Analytics

Level: Lead / Senior Individual Contributor

Compensation: Competitive base + equity + performance bonus

About Us

We’re a venture-backed Fintech SaaS company building the analytics backbone for private market investing. Our platform is used by top portfolio managers, fund advisors, and institutional investors to analyze performance, uncover market trends, and make smarter capital allocation decisions.

With rapid growth and increasing demand for automation and intelligence, we’re hiring a Lead GenAI Data Engineer to own and scale AI integration across the entire platform.

What You’ll Do

  • Design and build end-to-end GenAI pipelines (RAG, embeddings, vector search, summarization)
  • Lead integration of LLM-driven features into core products (e.g., investment memo summarization, insight generation, intelligent search)
  • Manage and scale vector database infrastructure (e.g., Pinecone, Weaviate, FAISS)
  • Partner with product, engineering, and data teams to embed AI into user workflows
  • Create scalable data ingestion and transformation pipelines across structured and unstructured sources
  • Serve as the internal SME for AI-driven architecture, tooling, and deployment best practices

What We’re Looking For

  • 5–8+ years in data engineering, MLOps, or applied AI
  • Proven experience deploying LLM-based features in production (OpenAI, Claude, or open-source models)
  • Strong Python skills and familiarity with LangChain, LlamaIndex, or similar frameworks
  • Deep experience with SQL and cloud infrastructure (AWS preferred)
  • Hands-on with vector DBs and retrieval pipelines (RAG)
  • Ability to own architecture decisions, mentor others, and lead roadmap execution
  • Interest or experience in financial data or private markets is a big plus

Nice-to-Haves

  • Background in Fintech or asset management tech
  • Experience with prompt engineering, embeddings, and feedback loops
  • Knowledge of investment workflows or analytics in private equity/venture capital
  • Exposure to tools like dbt, Airflow, Docker, Terraform

Why Join Us?

  • Fully remote team with a strong engineering culture
  • Direct impact on product direction and AI roadmap
  • Work closely with founders, data scientists, and end users
  • Help shape how private market investment analysis is done in the GenAI era

Ready to shape the future of AI in Fintech?

Posted By: Phillip Perkins

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Staffing and Recruiting

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