Enterprise AI Engineer - Production LLMs (Remote, ET)

Rise Talent Advisors; Boston (MA); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Remote work

Eastern time hours

Job summary

Rise Talent Advisors is helping a venture-backed Series A AI startup hire AI engineers. This remote role requires working Eastern time hours with New York preferred; West Coast or Central time are not a fit.

You will own technical build of customized AI platform deployments for major enterprise customers, from architecture to production. You will adapt the core platform to customer environments, manage deployments, and ensure reliability of LLM systems in regulated contexts.

Qualifications

• 6–12 years in back end or AI engineering, with production deployments.
• Experience delivering for enterprise customers, preferably regulated industries.
• Strong software architecture and end-to-end delivery ownership.
• Back end or full stack with Python.

Responsibilities

• Own the technical build of a customized AI platform deployment for an enterprise customer.
• Adapt and extend the core platform for the customer's environment and merge work back into the product.
• Collaborate daily with core engineering teams across regions on Eastern time.
• Own production deployments, integrations and reliability of LLM systems in a regulated setting.
• Build back end and full stack features in Python for APIs and deployments.
• Serve as technical contact for the customer's engineering stakeholders, with ~20% customer facing.
• Troubleshoot production issues and drive end-to-end fixes with independence.
• Help shape US engineering team workflows as it grows.

Skills

Python

Backend engineering

System design

Production deployments

Enterprise customers

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

CI/CD

Observability tooling

Job description

Rise Talent Advisors is helping a venture-backed Series A AI startup hire AI engineers. This remote role requires working Eastern time hours with New York preferred; West Coast or Central time are not a fit.

You will own technical build of customized AI platform deployments for major enterprise customers, from architecture to production. You will adapt the core platform to customer environments, manage deployments, and ensure reliability of LLM systems in regulated contexts.