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AI Engineer

Remote — United States (see country and timezone requirements)

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Job description

AI Engineer

Company: X5 Labs

Location: New York, NY preferred (open to anywhere in the US)

Compensation: $200,000 - $350,000 + competitive equity

Employment Type: Full-time

Visa Sponsorship: Visa transfers (OPT, H-1B transfer)

About X5 Labs

X5 Labs is a stealth-mode AI startup building a work model for regulated enterprises: an ambient discovery platform that learns how employees actually work and then augments their workflows with custom AI models deployed end to end inside the customer's environment. It focuses on large regulated enterprises, primarily top-tier banks and financial institutions.

X5 Labs is a Series A company ($23M raised), founded by repeat entrepreneurs with deep roots in Israeli intelligence and AI research, on their second venture together.

The Role

X5 Labs is hiring an AI Engineer (5-10+ years) to own the technical build-out of a custom AI/LLM platform for one of the top five banks in the US. You will join a tight-knit, execution-focused team that ships real AI in production, working closely with the core engineering team and a marquee enterprise customer. About 20% of the role is customer-facing.

What You Will Do

Fork and customize the core AI/LLM platform for a top-five bank's environment, owning the build from architecture to deployment.

Work daily with the Israel-based engineering team to merge customer-specific work into the main product.

Own production deployments, integrations and reliability in a regulated enterprise environment.

Serve as the go-to technical contact for the bank's engineering stakeholders.

Troubleshoot complex production issues end to end with high independence.

What You Bring

5-10+ years of engineering experience

Production AI/LLM systems experience (GenAI, RAG)

Strong Python, Kubernetes, CI/CD, REST APIs and cloud (AWS, GCP or Azure)

Comfort as the technical point of contact for enterprise stakeholders

Experience in regulated enterprise environments (banking a plus)

Tech Stack

Python, LLMs, GenAI, RAG, Kubernetes, CI/CD, REST APIs, AWS/GCP/Azure

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
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