[SX/EIT-MM] AI/Agent Engineers (1-year contract)
Core
Architect and deploy agentic systems, pushing LLM capabilities into production with a focus on planning, memory, tool use, and evaluation.
Role type
Senior IC AI/Agent Engineer
Builds
Production agentic systems, RAG/embedding pipelines, and inference services for multimodal inputs
Domain
AI/LLM engineering, Agent systems, Multimodal AI
Deliverable
production ML models
Required skills
Transformers fundamentals, LLM application development, Agent systems design, Python (async, testing, packaging), Production AI engineering, MLOps
Preferred skills
Multi-agent coordination, Vision-language models, Model-serving frameworks (vLLM, Triton), Modern coding agents
Technologies
Python, Anthropic, OpenAI, Gemini, Docker, Kubernetes/AKS, Azure AI, vLLM, NVIDIA Triton
Responsibilities
Architect agentic systems with planning and tool use, Design prompt and context strategies for multimodal inputs, Build evaluation loops and offline eval sets, Optimize system latency and token budget, Contribute upstream to open-source agent frameworks, Mentor team on design and code reviews
Seniority
Mid-level (0-3 years), hands-on IC
