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Capgemini
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Agentic Ai Developer

Agentic Ai Developer

Capgemini

4 - 9 years

11 - 18 Lacs

noida hyderabad pune

Posted:2 days ago| Platform:

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Skills Required

azure langchain gen ai aiml python azure devops artificial intelligence fast api machine learning grafana agentic ai autogen git langgraph gcp gpt-4 splunk aws git hub

Work Mode

Hybrid

Job Type

Full Time

Job Description

Capgemini is hiring for Agentic AI Developer role

Locations: Mumbai/ Pune/Chennai/Hyderabad/Bangalore/Noida/Gurugram

Work mode: Hybrid

Experience range: 2 years to 13 years

We are looking for a Agentic AI Developer with 2+ 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 Masters degree in Computer Science, AI, Data Science, or related field
213 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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