Overview
On Site
180k - 200k
Full Time
Skills
SaaS
Backbone.js
Recruiting
Database
Product Engineering
Data Engineering
Machine Learning Operations (ML Ops)
Open Source
Python
LangChain
LlamaIndex
SQL
IaaS
Amazon Web Services
Mentorship
Finance
Asset Management
Prompt Engineering
Workflow
Analytics
Private Equity
Venture Capital
Docker
Terraform
Virtual Team
Management
Roadmaps
Investment Analysis
Generative Artificial Intelligence (AI)
Artificial Intelligence
Job Details
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
Ready to shape the future of AI in Fintech?
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
- 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
- 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
- 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?
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.