Artificial Intelligence Engineer

As a Senior AI Engineer, you’ll design, build, and ship LLM-powered systems that solve real customer problems. You’ll work across the full lifecycle from early research and prototyping to production deployment and evaluation.

You’ll be comfortable switching between high-level system design and low-level debugging, whether that’s tuning an evaluation framework, scaling async workflows, or understanding why an agent behaved unexpectedly in production.

What You’ll Do

• Design and implement LLM-based systems and agentic workflows
• Build and maintain evaluation frameworks to measure and improve model performance
• Develop scalable, asynchronous systems for AI orchestration
• Work on RAG pipelines, multi-agent systems, and production LLM workflows
• Collaborate closely with engineers, researchers, and product teams
• Contribute to AI strategy and long-term technical direction

• Experience building and deploying non-trivial AI systems in production
• Strong understanding of ML and deep learning fundamentals
• Experience with LLMs, agents, RAG, or large-scale inference pipelines
• Ability to move comfortably between research papers and production code
• Curiosity, ownership, and a strong desire to keep improving

We’re working with a high-growth, Series A-backed startup building a new category of AI software to help companies automate operations using their internal (tribal) knowledge. The team is deeply technical, with a strong focus on quality, ownership, and long-term impact.

This is a hands-on role for engineers who enjoy working at the intersection of applied AI research and real-world production systems.