Senior AI Engineer, Agents & Applications
Core
Design, build, and operate production-grade agentic systems that coordinate, optimize, and automate decision-making across the design-build-operate lifecycle of AI factories.
Role type
Senior IC AI Engineer (Agents & Applications)
Builds
Agentic applications for AI-factory planning, commissioning, validation, workload optimization, scheduling, operations, and incident response.
Domain
AI Infrastructure / Energy Systems / Cloud Computing
Deliverable
production ML models
Required skills
Agent architecture design, orchestration frameworks (LangGraph, LangChain, AutoGen, etc.), RAG pipeline development, vector database management, Kubernetes and job-scheduler diagnostics, time-series telemetry analysis, multi-agent system design, safety controls implementation, knowledge ingestion pipelines.
Preferred skills
Experience with GPU topology and network optimization, thermal and power domain monitoring, grid-integration systems, event-driven architecture patterns.
Technologies
LangGraph, LangChain, LlamaIndex, Microsoft AutoGen, Semantic Kernel, CrewAI, PydanticAI, Haystack, DSPy, pgvector, OpenSearch, Elasticsearch, Milvus, Weaviate, Pinecone, Qdrant, Neo4j, Kubernetes.
Responsibilities
Define reference architectures for single-agent, multi-agent, and human-in-the-loop systems; build specialist agents for benchmark analysis, workload configuration, and resource optimization; develop intelligent coordination layers for Model-to-Grid; construct RAG pipelines with hybrid search and graph-based retrieval; design knowledge-ingestion pipelines for operational documentation and telemetry.
Seniority
Senior, hands-on IC
