[SX/EIT-MM] 5 AI/Agent Engineers
Core
Architecting and building production AI agent systems that reason, plan, call tools, and deliver real business outcomes end-to-end.
Role type
Senior IC AI/Agent Engineer
Builds
Agentic systems with planning, memory, tool use, multi-agent delegation, and evaluation loops.
Domain
Artificial Intelligence / Machine Learning / Agent Systems
Deliverable
production ML models
Required skills
Transformers mechanics (attention, KV cache, tokenization), LLM application engineering, Agent system design (planning, memory, orchestration), Multimodal AI (vision, audio, documents), Python (async, typing, testing), Production AI engineering (inference services, RAG, containerization), MLOps (CI/CD, observability, autoscaling), Coding agents (Claude Code, Cursor, Copilot)
Preferred skills
Fine-tuning/distilling open-weight LLMs, Vector search and reranking at scale, Production evaluation infrastructure, Published ML work
Technologies
Python, vLLM, NVIDIA Triton, Docker, Kubernetes/AKS, Azure AI services, Anthropic, OpenAI, Gemini
Responsibilities
Architect agentic systems with planning and multi-agent delegation; Push model capability into production with prompt and context strategies; Own the evaluation story with offline sets and online judges; Optimize system performance via caching, batching, and model routing; Contribute upstream to open-source agent frameworks; Mentor team members on design and code reviews
Seniority
Senior, hands-on IC