AI Engineer

Position Summary, Responsibilities and Expectations:

• Own AI/ML feature development across multiple platforms, end to end.

• Handle model integration, including choosing and swapping providers as needs change.

• Build and maintain LLM pipelines and orchestration logic.

• Set up retrieval systems and the data logic that feeds them.

• Run evaluation on model output and iterate to improve accuracy, reliability and cost.

• Optimize performance, including cost and latency trade-offs in production.

• Track emerging AI tools and frameworks and bring in what’s worth adopting.

Essential Skills and Experience:

• 4+ years of software engineering experience.

• Strong Python skills.

• Production experience with LLMs.

• Experience with vector stores and retrieval-augmented generation.

• Experience with agentic frameworks.

• Practical MLOps experience, including deploying and monitoring AI systems in production.

• A working grasp of cost and latency trade-offs when running LLM-based systems at scale.

• Comfortable working alongside a small core engineering team.

• Fluent English, both in written and speaking.