Motion Recruitment
Lead GenAI Data Engineer
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
Specialization :
Machine Learning/Data Science
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
Specialization :
Machine Learning/Data Science