Principal/Senior AI Engineer

What you'll do

• Design and deliver agent systems and AI orchestration architectures, integrating models and APIs into enterprise products.
• Optimize systems for latency, cost, reliability, and scalable cloud deployment.
• Implement governance, privacy guardrails, evaluation mechanisms, and reusable patterns; lead engineering workstreams and mentor engineers.

What they ask for

• Experience thresholds vary by level: Principal requires 10+ years in software engineering plus 2+ years building production LLM/agentic systems, or 7+ years in ML Engineering/AI application development plus 3+ years shipping LLM-backed products; Senior requires 8+ years in software engineering plus 1+ year building production LLM/agentic systems, or 5+ years in ML Engineering/AI application development plus 2+ years shipping LLM-backed products.
• At least 2 years (Principal) or 1 year (Senior) integrating large models and modern AI APIs into user-facing enterprise products.
• Experience designing and scaling AI orchestration architectures: 2+ years for Principal or 1+ year for Senior.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent technical field; strong responsible-AI, technical leadership, product, and system-design capabilities.

Nice to have

• Master’s degree.
• Experience with multi-agent frameworks, routing layers, advanced RAG pipelines, and automated evaluation metrics.

Pay

$228,000 USD - $342,000 USD (base salary); $176,000 USD - $312,000 USD (base salary)

Tools

LLMs, Foundation Models, RAG, AWS, GCP, AI APIs

AI focus

Build and integrate production intelligent agents, orchestrate LLM workflows, and apply responsible AI governance, guardrails, and evaluation for sensitive enterprise data.