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Capgemini
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Agentic AI

Agentic AI

Capgemini

3 - 7 years

1 - 6 Lacs

hyderabad pune mumbai (all areas)

Posted:3 days ago| Platform:

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Skills Required

autogen langchain javascript python azure splunk grafana

Work Mode

Hybrid

Job Type

Full Time

Job Description

Given your work experience, we believe it would be a great opportunity for you to progress in your career at Capgemini.

AGENTIC AI

Location: Mumbai , pune , hyd , chennai , noida

Experience: 3.5 - 7 Years

We are looking for a Agentic AI Developer with 5+ years of 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 responsesenabling 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
3–5 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

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