AI Engineer

About the Role

What You’ll Do

• Build production AI systems using frontier models, retrieval, tool use, agents, and structured workflows.
• Design and productionize LLM pipelines, including prompting, context engineering, retrieval, orchestration, and evaluations.
• Build backend services, APIs, data flows, and integrations that power AI products.
• Work on real-time voice and multimodal AI systems.
• Design evaluation suites that identify failures, regressions, and opportunities to improve model behavior.
• Experiment with new models and techniques and determine what is useful in production.
• Debug problems across models, application code, data, and infrastructure.
• Communicate technical decisions, tradeoffs, results, and failures clearly

What We’re Looking For

• 3+ years of strong software or AI engineering experience.
• Excellent Python and software engineering fundamentals.
• Experience shipping LLM-powered or machine-learning systems into production.
• Strong understanding of retrieval, embeddings, tool calling, agents, and evaluations.
• Ability to reason about latency, reliability, observability, cost, and failure modes.
• Exceptional written and verbal communication.
• Ability to take an ambiguous problem, structure it clearly, and drive it to completion.
• High agency and a bias toward building and shipping.

Strong Plus

• Experience with speech, voice AI, or real-time systems.
• Experience with AWS and production cloud infrastructure.
• Experience building developer platforms or reusable AI infrastructure.
• Experience working directly with enterprise customers or in regulated industries

Why This Role Matters