AI Engineer
Core
Design and implement intelligent autonomous agents and RAG solutions that combine large language models with enterprise data to create precise, reliable answers and deliver real business value.
Role type
Senior AI Engineer (Agentic Systems & LLM)
Builds
Autonomous agent systems, RAG architectures, and multi-agent orchestration platforms for enterprise clients.
Domain
Artificial Intelligence, Large Language Models, Enterprise Software
Deliverable
production ML models
Required skills
Python, LLM development, Agent frameworks (LangGraph, Anthropic Agents SDK), RAG architecture, Vector databases, Embedding technologies, Cloud platforms (Azure, AWS, Google Cloud), Prompt Engineering, System evaluation
Preferred skills
MCP and A2A protocols, Multi-agent systems, AgentOps, LLMOps, MLOps, Self-hosted models
Technologies
LangGraph, Anthropic Agents SDK, Azure OpenAI, AWS, Google Cloud, Vector databases
Responsibilities
Design and implement intelligent agents capable of planning, reasoning, and autonomous action; Develop advanced RAG solutions integrating LLMs with business data; Implement guardrails, Human-in-the-Loop workflows, and tracing for agent governance; Optimize prompts and establish evaluation frameworks to measure agent performance.
Seniority
Senior, hands-on IC