AI Engineer

Rise Talent Advisors; San Francisco (CA); Remote; USD 160,000 - 240,000; Full time

Benefits offered by this job

Equity

Job summary

Rise Talent Advisors is helping a venture-backed AI startup hire senior AI engineers. The role is remote with a preference for New York; you will work on a customized AI platform for large enterprises, ensuring deployments stay compliant and auditable within customer environments.

You will integrate with a globally distributed team, own architecture-to-deployment tasks, and focus on production-grade back-end and full-stack Python work for AI-powered products.

Qualifications

• 6 to 12 years in back end or AI engineering, building and deploying large language model systems in production.
• Last 2–3 years at a high growth, venture backed Series A–D startup shipping product to enterprise customers.
• LLM or agentic workflows you built and shipped for external customers in production.

Responsibilities

• Own the technical build of a customized version of the AI platform for a major enterprise customer, from architecture to deployment.
• Adapt and extend the core platform for the customer's environment, merging customer work back into the main product.
• Work daily with core engineering team abroad, overlapping on Eastern time.
• Own production deployments, integrations and reliability of LLM systems in a regulated enterprise environment.
• Build back end and full stack features in Python: APIs, integrations and deployments for AI powered products.

Skills

Python backend

Production deployments

Enterprise customer experience

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

CI/CD

Observability tooling

Job description

This role is remote, and you must work Eastern time hours. New York is preferred. Candidates on West Coast or Central time are not a fit.

We are helping a venture backed Series A AI startup hire AI engineers. The company builds custom AI systems that carry approved, high stakes work across the systems a large regulated enterprise already uses, including older private systems.

Each deployment is a tailored version of the core platform, run end to end inside the customer's own environment, because data in these industries cannot leave the customer's infrastructure. The customer's policies decide what the system can do. When a judgment call is needed, the work goes back to a person with the evidence already assembled. Every run leaves an audit trail. Operating data stays with that customer and is not shared. The company can run on the customer's chosen foundation model, and it keeps control of its own model stack, including its own compute.

The company works like an applied research lab that cares most about getting models into production and solving customer problems. The team has strong research backgrounds. Many of the research and engineering people have worked together before, including at a previous company the founders built. It has closed large enterprise deals with major financial institutions and is growing quickly. The core engineering team is overseas, and the US team overlaps with it on Eastern time. The structure is flat, and engineers own their work end to end. A New York office is being set up.

What you will do

• Own the technical build of a customized version of the company's AI platform for a major enterprise customer, from architecture to deployment.
• Adapt and extend the core platform for the customer's environment, and merge customer specific work back into the main product.
• Work every day with the core engineering team abroad, overlapping on Eastern time.
• Own production deployments, integrations and the reliability of large language model systems in a regulated enterprise environment.
• Build back end and full stack features in Python: APIs, integrations and deployments for AI powered products.
• Serve as a go to technical contact for the customer's engineering stakeholders. Expect about 20 percent of your time to be customer facing.
• Troubleshoot complex production issues and drive fixes end to end with a high degree of independence.
• Help shape how the US engineering team works as it grows.

What you need

• 6 to 12 years in back end or AI engineering, building and deploying large language model systems in production.
• Your last 2 to 3 years as an engineer at a high growth, venture backed Series A through Series D AI startup shipping product to enterprise customers.
• Large language model or agentic workflows you built and shipped that run in production for external customers. Internal tools and prototypes do not count.
• Strong software architecture and system design, and the ability to own technical delivery end to end.
• Back end or full stack software engineering in Python.
• A degree in computer science or a related field.
• Experience working directly with enterprise customers or their technical teams, ideally in banking or another regulated industry.
• You live on the US East Coast and work Eastern time hours.

Nice to have

• Cloud, Kubernetes, CI/CD and observability tooling.

What this search is not

• Candidates with more than 12 years of experience are not a fit for this role.
• Candidates coming from Big Tech, a large bank, a large enterprise, a consulting firm, venture capital or asset management are not a fit, even with AI titles.
• Data scientists, machine learning engineers, data engineers and SRE or DevOps profiles whose main work is not software engineering are not a fit.
• Research or academic AI experience without production deployments is not a fit.
• Recent history of several stints of about a year or less, without a clear reason, is not a fit.
• Candidates on West Coast or Central time are not a fit.

Location

• Remote, with New York preferred. A New York office is being set up.
• Eastern time hours only.
• Visa transfers can be considered.
• Full time, direct hire role. Equity is part of the offer.

Rise Talent Advisors is an equal opportunity employer. We welcome people of all backgrounds.