At a glance
Lead the AI and data function by building production-grade LLM agents and automation for collections, credit decisioning, and cash application, while guiding engineers and shaping the product roadmap.
Summarized by AI from the original posting
What you'll do
- Build AI and data systems automating collections, credit decisioning, and cash application workflows
- Turn LLMs and agents into reliable production-grade features
- Implement evaluations and observability
- Act as a player-coach for engineers
- Write clean, performant code
- Own projects end to end and manage work independently
Requirements
- 013+ years building product features and modern ML or LLM systems
- 02Experience evaluating ML/LLM output quality
- 03Leadership experience with engineering teams
- 04Strong full-stack fundamentals
- 05Clear technical communication
- 06Startup experience
- 07Strong product sense
Skills
Full description
Dill is revolutionizing payments, AR and trade credit for the $2T construction materials industry. Material suppliers, distributors, and wholesalers are some of the most important stakeholders in the construction industry but are often the last to get paid. These companies are the backbone of the US economy - they are the nexus of what gets built and what gets moved in this country. At Dill, we build products that help construction suppliers improve cash flow, reduce risk, operate more efficiently, and stay competitive. You’ll be joining a YC backed, fast-growing company with a second-time founder (previous exit in construction technology).
The Role
We are looking for an AI Engineer / Lead to help lead our AI & data function at Dill and help us build category-defining products. Your focus area will be building and scaling AI agents and features on a growing dataset in a way that makes the most sense for our industry. You’ll work with our engineering, design, and product teams to help shape the roadmap and drive real impact for our customers and this industry.
What You'll Do
- Build the AI & data systems that automate workflows like collections, credit decisioning, cash application, and more.
- Turn LLMs and agents into reliable, production-grade features, with the right evals and observability.
- Act as player-coach with our existing team of engineers.
- Write high-quality, clean and performant code.
- Have high autonomy, own things end to end, and project manage your own work.
What We're Looking For
- You have 3+ years experience building product features (demonstrating strong full-stack fundamentals) as well as building with modern ML or LLMs and evaluating output quality.
- You’ve led or played lead to a team of engineers.
- You are able to communicate technical solutions and tradeoffs clearly.
- You’ve worked at startups previously and get excited by solving ambiguous problems.
- You have a strong product sense and are able to quickly translate customer requirements into technical decisions in our codebase.
- (Bonus) You have experience with our tech stack (React, Firebase, PostgreSQL, GCP).
- (Bonus) Experience with infrastructure and systems architecture.
About Dill
Dill helps construction suppliers automate accounts receivable, online payments, and credit applications.
Compensation: $160K - $200K
Experience: 3+ years