Context Engineer
Core
Architecting prompts, workflows, and agent behaviors to bridge human intent and machine execution for generative AI and LLM applications.
Role type
Context Engineer (Generative AI & LLMs)
Builds
AI and agentic workflows, prompt architectures, RAG pipelines, and autonomous/semi-autonomous AI agents
Domain
Generative AI, Large Language Models (LLMs), Autonomous Agents
Deliverable
production ML models
Required skills
LLMs, prompt engineering, AI orchestration frameworks, vector databases, Python, SQL/APIs, AI risk management
Preferred skills
None stated
Technologies
LangChain, LlamaIndex, Semantic Kernel
Responsibilities
Translate business objectives into AI workflows; Design and optimize prompt architectures and RAG pipelines; Engineer and monitor autonomous AI agents; Evaluate model behavior and output quality; Ensure ethical AI deployment and compliance; Document system instructions and agent logic; Adopt emerging AI technologies; Communicate AI capabilities to stakeholders; Identify and control AI operational risks
Seniority
Mid-level, hands-on IC
