Agentic AI Developer

Capgemini; Pune District, Bengaluru, Delhi; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Capgemini India is seeking an Agentic AI Developer to design, develop, and deploy autonomous AI agents that plan, reason, and act toward complex goals.

You will work with LangChain, LangGraph, AutoGen, CrewAI and multiple LLMs to build adaptive agent workflows, plus integrate with external APIs, databases, and web apps.

Collaborate with data scientists, architects and product teams to deliver secure, well-documented solutions aligned with business goals.

Qualifications

• Bachelor's or Master's in Computer Science, AI, Data Science or related field.
• 2–5 years of AI/ML development with 1–2 years in Gen AI or Agentic AI.
• Strong understanding of autonomous systems, planning algorithms, and multi-agent coordination.
• Excellent problem solving, communication and collaboration skills.

Responsibilities

• Build autonomous agents using LangChain, LangGraph, AutoGen, CrewAI that can plan, reason, and execute tasks iteratively.
• Integrate and fine-tune LLMs (GPT-4, Claude, LLaMA) for agent workflows including prompt engineering and RAG.
• Develop systems where multiple agents collaborate, delegate tasks, and adapt strategies based on real-time feedback.
• Enable agents to interact with external systems (APIs, databases, web apps) to perform actions autonomously.
• Use LangSmith, Grafana, Splunk to monitor agent behavior, performance, and reliability.
• Work with data scientists, architects, and product teams to align agentic solutions with business goals.
• Ensure all solutions are well-documented and comply with data privacy and security standards.

Skills

Python

JavaScript

C#

Education

Bachelor's or Master's in Computer Science, AI, Data Science

Tools

LangChain

LangGraph

AutoGen

CrewAI

Hugging Face Transformers

FAISS

Pinecone

ChromaDB

Weaviate

Docker

Kubernetes

Git

Azure DevOps

Streamlit

FastAPI

Flask

Grafana

Splunk

LangSmith

Job description

Job Description

We are looking for a Agentic AI Developer with hands-on experience in designing, developing, and deploying intelligent, autonomous AI agents that can plan, reason, and act toward achieving complex goals. This role blends expertise in Generative AI, Large Language Models (LLMs), and orchestration frameworks to build systems that go beyond static responses enabling dynamic, goal-driven behavior.

Key responsibilities

• Build autonomous agents using frameworks like LangChain, LangGraph, AutoGen, and CrewAI that can plan, reason, and execute tasks iteratively.


• Integrate and fine-tune LLMs (e.g., GPT, Claude, LLaMA) for use in agent workflows, including prompt engineering and retrieval-augmented generation (RAG).


• Develop systems where multiple agents collaborate, delegate tasks, and adapt strategies based on real-time feedback.


• Enable agents to interact with external systems (e.g., APIs, databases, web apps) to perform actions autonomously.


• Use tools like LangSmith, Grafana, and Splunk to monitor agent behavior, performance, and reliability.


• Work closely with data scientists, architects, and product teams to align agentic solutions with business goals.


• Ensure all solutions are well-documented and comply with data privacy and security standards.

Technical Skills

• Languages: Python (mandatory), JavaScript, C# (optional)


• Frameworks: LangChain, LangGraph, AutoGen, CrewAI, Hugging Face Transformers


• LLMs: GPT-4, GPT- 4o, Claude, LLaMA, Mistral, Gemini


• Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate


• Cloud Platforms: Azure (OpenAI, ML Studio), AWS (Bedrock, SageMaker), GCP (Vertex AI)


• DevOps & CI/CD: Git, Azure DevOps, Docker, Kubernetes


• Monitoring Tools: LangSmith, Grafana, Splunk


• Other Tools: Streamlit, FastAPI, Flask for UI/API development

Qualifications

• Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field


• 2–5 years of experience in AI/ML development, with at least 1–2 years in Gen AI or Agentic AI


• Strong understanding of autonomous systems, planning algorithms, and multi-agent coordination


• Excellent problem-solving, communication, and collaboration skills