Role – Senior Agentic AI Developer
Experience Range – 4.5 to 11 Years
Job Location – Pune / Trivandrum
Work Mode – Currently Remote
Responsibilities
Agentic AI Workflow Development
-
Architect, build, and optimize agentic AI workflows using frameworks such as
LangGraph, CrewAI, AutoGen, and similar agent orchestration patterns.
-
Build multi-agent systems that coordinate reasoning, tool use, memory, and
task execution across complex workflows.
-
Implement MCP (Model Context Protocol) tools and custom tool interfaces to
extend agent capabilities.
-
Integrate agentic AI solutions with existing enterprise platforms and
workflows.
LLM Orchestration & Prompt Engineering
-
Orchestrate LLM interactions using LangChain and related frameworks across
retrieval, tools, memory, and agents.
-
Design, test, and optimize prompt strategies for reliability, performance,
and cost efficiency.
-
Support prompt versioning, experimentation, and controlled rollout
strategies.
-
Prototype and benchmark agentic AI solutions for scalability, robustness,
and safety.
Backend & API Engineering
-
Develop Python-based services and AI backends using FastAPI.
-
Expose agent and workflow capabilities via secure, scalable REST APIs.
-
Implement asynchronous workflows, background tasks, and event-driven
processing where appropriate.
Cloud-Native AI Platform Development
-
Build and deploy AI services on Azure or AWS.
-
Integrate supporting cloud services (e.g., IAM, logging, monitoring) to meet
enterprise security and compliance requirements.
-
Optimize solutions for performance, scalability, and cost in a cloud-native
environment.
Containerization & Deployment
-
Package AI services using Docker and deploy to Kubernetes environments.
-
Support deployment pipelines that enable consistent builds across dev, test,
and production.
Required Skills
-
Strong Python development experience for AI and backend services.
-
Hands-on experience with agentic AI frameworks (LangChain, LangGraph,
CrewAI, AutoGen, or similar).
- Experience building APIs using FastAPI.
-
Working knowledge of Azure or AWS cloud services, including Azure Ai Foundry
or AWS Bedrock.