Senior AI Engineer

About the role

We are working with a well funded AI company building production AI systems used at scale.

The team is looking for a Senior AI Engineer to help build and ship AI products from end to end.

You will work across AI, software engineering and product, taking models and new AI capabilities and turning them into reliable products that customers use in production.

The Role

You will work closely with engineers, ML specialists and product leaders to build new AI products and improve existing systems.

The work will cover the full AI application stack including experimentation, model integration, evaluation, APIs, infrastructure and deployment.

A big part of the role is figuring out how to make AI systems work reliably in real world environments and at scale.

Key responsibilities of the role:

Build and launch AI product features used in production

Develop systems around LLMs and other machine learning models

Own projects from early experimentation through to deployment

Build services, APIs and infrastructure for AI products

Develop evaluation, testing and monitoring for AI systems

Improve reliability, latency and quality

Work closely with product and engineering teams on complex technical problems

Make architectural decisions across AI and software systems

Help shape engineering standards as the team grows

What We Are Looking For

The most important thing is that you have already built or worked extensively on an AI or machine learning product that is running in production.

We are particularly interested in engineers who have had real ownership rather than only working on isolated experiments or research projects.

Key experience needed:

Strong Python and software engineering experience

Experience building production AI or machine learning products

Experience working with LLMs, generative AI or modern ML systems

Strong understanding of APIs, backend systems and system design

Experience taking ML systems from prototype to production

Experience working with cloud infrastructure and containerised environments

Strong product instincts

Ability to work through ambiguous technical problems

Understanding of the challenges involved in making AI systems reliable in production

Experience with LLM evaluation, fine tuning, RAG, agents, model serving, structured generation, ML pipelines or AI infrastructure would be useful but is not required across every area.

The key thing is that you have gone beyond prototypes and experiments.

You have helped ship AI into production and understand what is involved in making these systems useful and reliable.

Compensation

$180,000 to $230,000 base salary plus equity.

There may be flexibility depending on experience.

Remote first company but offices in SF & NYC.