Senior Associate Agentic AI Engineer
*AI Engineering & Intelligent Automation | AI Managed Services*
Role Snapshot
Role
Senior Associate Agentic AI Engineer
Experience
5 to 8 years
Work Location
Anywhere in India (Preferably Hyderabad / Bangalore)
Education
Bachelors in Computer Science, Engineering, or related field (Masters or cloud/AI certifications preferred)
Core Skills
Agentic AI Workflows, LLM Orchestration, Python, FastAPI, AWS (Bedrock), Docker & Kubernetes, Redis/ElastiCache
Nice to Have
MCP tools, Langfuse, Evaluation harnesses, AWS certifications, Enterprise AI governance
About the Role
As a Senior Associate – Agentic AI Engineer, you will design, build, and operationalize agentic AI solutions using modern LLM orchestration frameworks and cloud-native architectures. Working alongside senior engineers, architects, and operations teams, you will deliver scalable, secure, and governed AI workflows that move reliably from development into production.
This is a hands-on, engineering-focused role covering agent design, orchestration, evaluation,
and release readiness within an enterprise AI managed services workplace.
Key Responsibilities
Agentic AI Workflow Development
Design multi-agent systems that coordinate reasoning, tool use, memory, and task execution using LangGraph, CrewAI, AutoGen, and similar frameworks. Implement MCP (Model Context Protocol) tools and custom tool interfaces to extend agent capabilities.
LLM Orchestration & Prompt Engineering
Orchestrate LLM interactions with LangChain across retrieval, tools, memory, and agents. Design, test, and optimize prompts for reliability, performance, and cost — supporting versioning, experimentation, and controlled rollouts.
Backend & API Engineering
Develop Python-based AI services using FastAPI. Expose agent and workflow capabilities via secure, scalable REST APIs, with asynchronous workflows, background tasks, and event-driven processing where appropriate.
Cloud-Native AI Pla
📌 Agentic AI Engineer (Bengaluru)
🏢 PwC
📍 Bengaluru