Agentic AI II 4 to 6 Years II Bengaluru

Job Description

The Agentic AI Engineer is responsible for building intelligent, autonomous, and collaborative AI systems. This role focuses on agent reasoning, A2A (Agent to Agent) collaboration, MCP based tool interoperability, structured output validation, and guardrailed execution suitable for production and enterprise environments.

Core Technical Skills: -

Strong proficiency in Python (mandatory)

• Hands on experience with agent frameworks (e.g.Autogen, Lang Chain, Lang Graph, CrewAI etc). Preferred framework
• Microsoft Azure AI Foundry
  Experience implementing A2A workflows (multi agent messaging, task delegation, agent roles)
  Practical experience with MCP Server and MCP Client development
  Exposing tools via MCP servers
  Consuming MCP tools from agents
  Managing context, schemas, and permissions
  Deep understanding of prompt engineering and agent reasoning patterns
  Experience with vector databases (eg., Chroma, Weaviate, Azure AI Search)
  Strong knowledge of RAG architectures and embeddings
  Experience with REST / async APIs / event driven systems

Software Engineering & Platform Skills:

Cloud experience (Azure preferred; AWS/GCP acceptable)
Autogen, Microsoft Agent Framework
Strong understanding of distributed systems and scalability
Git based workflows, CI/CD and code quality practices
Observability, logging, evaluation metrics for agentic systems

Nice to Have / Preferred Skills: -

Advanced multi agent orchestration and dynamic role assignment

Experience with LLMOps / Agent Ops tooling:

Knowledge of knowledge graphs
Experience building enterprise grade workflow automation agents
Exposure to security considerations in agentic systems (prompt injection, tool misuse)

Exposure to Guardrails:

Exposure to Telecom Network domain:

Certifications – Azure AI-900, AI-901, AI-102, AI-103