/roles — ROLE_487
AI Engineer
Series A applied AI startup running self-hosted models that improve how employees work at major banks
The role
- COMP
- $200K - $350K
- EQUITY
- Competitive equity
- LOCATION
- New York · San Francisco · South Bay Area · Los Angeles · Boston · Seattle · Texas · Chicago · Washington DC · Denver · Florida · Minnesota · Sacramento
- WORKPLACE
- Remote
- EXPERIENCE
- 6 - 12 years
- VISA
- None, Visa transfers
- STACK
- Python, Kubernetes, CI/CD, REST API, AWS, GCP, Azure
- INDUSTRY
- AI, Enterprise, Finance, Financial Services, Education, Insurance, Healthcare
The company
A Series A applied AI company that deploys custom, self-hosted AI models inside large regulated enterprises, mostly in banking and finance, to understand and improve how employees work.
- STAGE
- Series A-stage
- FUNDING
- $20M+ raised
- TEAM
- ~25 people
- FOUNDED
- 2022
JD — the work
About the role
You would lead the engineering of a customized AI and LLM platform built for one of the biggest US banks, from architecture through deployment. The company, at Series A with roughly 25 people, ships AI into production rather than research papers or demos, and it runs its own GPUs and self-hosts its models. You would work between the company's main engineering group in Israel and the bank's engineers, spending about a fifth of your time customer-facing.
What you'll do
- Fork and adapt the core AI and LLM platform to run inside a major bank's environment
- Coordinate every day with the core engineers in Israel so bank-specific work folds back into the main codebase
- Take responsibility for deploying, integrating, and keeping LLM systems reliable in a heavily regulated environment
- Be the lead technical contact for the customer's engineering teams, roughly a fifth of your time
- Diagnose hard production problems and resolve them end to end with little supervision
What they're looking for
- Senior engineer with 5 to 10+ years of experience building and deploying AI or LLM systems
- A record of owning production AI deployments end to end in demanding enterprise settings
- Python, Kubernetes, CI/CD, and REST APIs on AWS, GCP, or Azure
- High independence and comfort working directly with a large enterprise customer
- Willingness to collaborate daily across time zones with an engineering team in Israel