Applied AI Engineer
About the role
About Day One Partners
Day One Partners is a search firm that partners with venture capital firms to help build high-growth startups. We lead confidential searches for leadership and critical roles across a range of company stages, industries, and functions
About the Role
We’re hiring an Applied AI Engineer to build AI products for complex financial workflows. You’ll work across LLMs, retrieval, agents, and evaluation, with the opportunity to take ideas from research and customer feedback through to production.
What You’ll Do:
Build and deploy AI agents and retrieval systems that understand financial context
Extract and synthesize insights from PDFs, emails, presentations, and other unstructured sources
Develop knowledge graphs that capture financial relationships, entities, and market dynamics
Create evaluation frameworks for investment research, due diligence, and portfolio monitoring use cases
Improve traceability between AI outputs and their primary sources
Test new approaches to LLM orchestration, context management, and retrieval
Own production systems with a focus on reliability, performance, and maintainability
What You’ll Bring:
3+ years of experience in machine learning, AI research, or applied AI engineering
Experience with LLMs, RAG, agentic workflows, retrieval systems, embeddings, and AI evaluation
Interest or experience in financial markets, investment processes, or quantitative finance
Ability to turn AI research into useful products
Full-stack experience with React, TypeScript, Python, Node, or similar technologies is a plus
Why You’ll Love This Role:
Meaningful ownership over AI products and technical direction
Direct customer feedback and the ability to ship improvements quickly
Medical, dental, and vision insurance
401(k) with employer match
Commuter stipend, daily lunch, office snacks, and regular team offsites
Responsibilities
- Build and deploy AI agents and retrieval systems that understand financial context
- Extract and synthesize insights from PDFs, emails, presentations, and other unstructured sources
- Develop knowledge graphs that capture financial relationships, entities, and market dynamics
- Create evaluation frameworks for investment research, due diligence, and portfolio monitoring use cases
- Improve traceability between AI outputs and their primary sources
- Test new approaches to LLM orchestration, context management, and retrieval
- Own production systems with a focus on reliability, performance, and maintainability
Qualifications
- 3+ years of experience in machine learning, AI research, or applied AI engineering
- Experience with LLMs, RAG, agentic workflows, retrieval systems, embeddings, and AI evaluation
- Interest or experience in financial markets, investment processes, or quantitative finance
- Ability to turn AI research into useful products
- Full-stack experience with React, TypeScript, Python, Node, or similar technologies is a plus
Benefits
- Medical, dental, and vision insurance
- 401(k) with employer match
- Commuter stipend, daily lunch, office snacks, and regular team offsites
Skills mentioned
About Day One Partners
Like the startups we partner with, we're fresh, innovative, and poised for high growth. We embrace risk, challenge the status quo, operate lean, and thrive on doing more with less. Join us to connect with highly skilled talent and simplify hiring, setting you on the path to success from day one. At Day One, we bring a unique blend of expertise, passion, and cutting-edge technology to the table. Our high-velocity recruiting approach ensures that we identify top talent quickly and efficiently, saving you time and resources. We are constantly pushing the boundaries of innovation, developing in-house recruiting tools to further enhance your hiring and recruiting experience.