[SX/EIT-MM] AI/Agent Engineers (1-year contract)
Core
Architect and deploy agentic systems with planning, memory, tool use, and multi-agent coordination for production environments.
Role type
Senior AI/Agent Engineer (Contract)
Builds
Agentic systems, RAG/embedding pipelines, inference services, and evaluation loops.
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python (async, typing, testing), LLM application development, agent system design (planning, memory, orchestration), multimodal model integration, MLOps, prompt engineering, evaluation strategy, system optimization (latency, cost), open-source contribution
Preferred skills
Multi-agent coordination protocols, vision-language models, document AI, GPU inference, modern coding agents (Claude Code, Cursor)
Technologies
Python, Docker, Kubernetes/AKS, Azure AI, vLLM, NVIDIA Triton, 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 LLM-as-judge loops; 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