Senior AI Engineer

THE ROLE

We're hiring a Senior AI Engineer to own and evolve the intelligence engine powering Brellium. This role goes well beyond toy demos — it requires deep fluency in prompt design, evaluation frameworks, agentic systems, structured extraction, tool use, retrieval pipelines, and performance tradeoffs. The work is core: transforming raw session data into clinically structured outputs, with a constant focus on improving accuracy, latency, reliability, and cost efficiency at scale.

WHAT YOU'LL DO

• Design and improve LLM-powered pipelines and agent architectures
• Build robust evaluation and benchmarking frameworks to measure output quality and regression
• Optimize for latency, cost, determinism, and output quality across high daily volume
• Implement retrieval-augmented generation (RAG) and tool-use strategies where appropriate
• Ship production-grade AI systems – not experiments
• Collaborate closely with backend and product teams to integrate AI capabilities into the core platform

YOU MIGHT BE A FIT IF YOU

• Have built and deployed LLM systems in production at meaningful scale
• Understand modern agent patterns: tool calling, RAG, memory, orchestration
• Think deeply about evaluation, hallucination mitigation, and reliability
• Care about performance and operational excellence, not just capability
• Are excited to build a core engine that operates at massive daily volume in a high-stakes clinical domain

REQUIRED SKILLS

• 5+ years of professional software engineering experience
• Hands-on experience building and shipping LLM-powered applications in production
• Deep familiarity with LLM concepts: prompt engineering, structured extraction, function/tool calling, RAG, evaluation frameworks
• Experience with AWS or comparable cloud infrastructure for AI workloads
• Strong software engineering fundamentals – you write clean, maintainable systems, not just notebooks

Compensation: $230,000 – $300,000

We are committed to offering a comprehensive and competitive total rewards package, including robust health benefits, commuter benefits, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.