AI Engineer

SLR is seeking an AI Development Engineer who enjoys building AI systems that operate reliably in the real world. This role sits at the intersection of AI engineering, software development, and infrastructure, focusing on designing and implementing production-grade systems powered by large language models (LLMs).

You will work hands-on across the full delivery lifecycle—moving quickly from concept to prototype to production. Working closely with product, engineering, and data teams, you will help deliver intelligent applications built on modern AI infrastructure.

We value practical builders over academic theory. Success in this role is defined by your ability to design, implement, deploy, and operate real systems that deliver business value.

Your work will progress rapidly from prototype to production, with real users and real constraints.

Build AI Systems

Implement AI Infrastructure

Develop MCP and Tool Integration Layers

Ship Production Code

Collaborate Across Teams

Software Engineering Foundations

LLM Application Development

Infrastructure and Deployment

Data and Retrieval Systems

What we look for, we are looking for engineers who:

You do not need to know everything—but you should be comfortable learning quickly and shipping continuously.

We value evidence of building, including:

Demonstrated delivery matters more than credentials.

You will help build real AI systems at a time when the AI stack is still rapidly evolving. This role offers: