AI Engineer
Core
Design, build, and ship production-grade AI/agentic systems (LLMs, agents) that run reliably under real load, integrating them into existing infrastructure.
Role type
Senior IC AI Engineer (Applied AI Delivery)
Builds
Production AI systems, agentic workflows, and evaluation pipelines for enterprise clients
Domain
Enterprise AI, Large Language Models (LLMs), Agentic Systems
Deliverable
production ML models | product features
Required skills
Python, TypeScript, LLM APIs (Anthropic, OpenAI), agent frameworks (LangGraph, CrewAI), vector stores/RAG, prompt engineering, evaluation methodology, orchestration, APIs, event-driven design, observability, CI/CD
Preferred skills
Kubernetes/OpenShift, cloud platforms (AWS/Azure/GCP), AI gateways (Portkey), structured spec-driven SDLC, regulated industry experience
Technologies
LangGraph, CrewAI, Strands, Portkey, Kubernetes, OpenShift, AWS, Azure, GCP
Responsibilities
Design and build production-grade AI/agentic systems from architecture to deployment; Own the full lifecycle of AI capabilities including problem framing and post-launch tuning; Build deterministic guardrails and evaluation harnesses; Integrate AI systems into existing production infrastructure; Make architectural tradeoffs on latency, cost, and reliability
Seniority
Senior, hands-on IC
