GenAI Developer
Core
Build retrieval-grounded, context-aware, and agentic AI applications using pre-trained foundation models, RAG, and knowledge graphs.
Role type
Generative AI Developer (IC)
Builds
AI-driven features and agentic workflows for Controls Technology products
Domain
Generative AI / Agentic AI / Controls Technology
Deliverable
production ML models
Required skills
Python, Prompt Engineering, RAG systems, Vector databases, Knowledge graphs, Agentic workflows (LangGraph/CrewAI/ADK), API integration, Docker, Git
Preferred skills
Graph RAG, Model Context Protocol (MCP), Agent2Agent (A2A), Cloud platforms (AWS/GCP/Azure)
Technologies
LangChain, LlamaIndex, Google ADK, CrewAI, LangGraph, OpenAI, Gemini, Claude, Docker, Git
Responsibilities
Implement context engineering workflows, develop RAG components, build agentic workflows with tool-calling, integrate agents to external tools, deploy and monitor GenAI applications, perform data preprocessing and API development
Seniority
Mid-level, hands-on IC
