Senior AI Engineer (LLMs)

Role Overview
We are seeking a Senior AI Engineer specializing in LLMs to lead the design, evaluation, and deployment of production-grade generative AI systems. You will own end-to-end LLM solutions, from prototyping to scalable production, while establishing best practices in evaluation, reliability, and responsible AI.

How will you make an impact?

• Lead the design and development of LLM-powered applications (chatbots, copilots, agents, internal tools)
• Own and evolve the LLM evaluation (evals) strategy, including designing gold-standard datasets and benchmarks, building automated eval pipelines and scoring systems, and defining metrics for factuality, grounding, robustness, and user impact
• Diagnose and resolve complex failure modes (hallucinations, retrieval issues, agent breakdowns)
• Optimize systems for latency, cost, scalability, and reliability in production
• Mentor junior engineers and guide best practices in LLM development and evaluation
• Collaborate cross-functionally with product, data, and leadership to shape AI strategy
• Set standards for responsible AI, including safety, bias mitigation, and observability

What makes you a great fit?

• 5+ years of experience in software engineering, machine learning, and applied AI with a track record of driving projects to completion
• Strong software engineering fundamentals (testing, modular design, dependency injection) in Python
• A track record of taking AI and LLM-powered features from initial concept through deployment and long-term production maintenance
• Experience implementing automated testing strategies for non-deterministic systems, and strong debugging and analytical skills for ambiguous model behavior
• A strong understanding of prompt engineering and prompt lifecycle management, RAG architectures and retrieval evaluation, and LLM limitations and failure patterns
• Solid experience using data analytics techniques (SQL, analysis and visualization) to inform product decisions
• A heavy product mindset to deeply understand our product and our customer needs to design the right solutions for them
• Strong tech leadership and mentorship skills, and the ability to independently drive projects to completion
• Clear communication of trade-offs, risks, and system performance to stakeholders

How can you earn extra bonus points?

• Proven experience driving ambiguous projects to completion, mentoring teams, and communicating complex technical risks to stakeholders
• The ability to design robust, production-grade evaluation at scale using advanced metrics and statistical validation
• Deep expertise in model fine-tuning, adversarial red-teaming, and safety testing to protect the system from edge-case vulnerabilities