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Capgemini
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Python Ai Developer

Python Ai Developer

Capgemini

9 - 14 years

12 - 20 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

python development ai development llms vector database retrieval augmented generation

Work Mode

Hybrid

Job Type

Full Time

Job Description

We are seeking a highly skilled Python Developer with expertise in Artificial Intelligence, Retrieval-Augmented Generation (RAG) integration, and Model Context Protocol (MCP). The candidate will be responsible for developing scalable applications, building intelligent search and conversational systems, and enabling seamless interaction between enterprise systems and LLMs using RAG + MCP pipelines.

Key Responsibilities:

Design, develop, and maintain applications in
Python
.
Implement
RAG pipelines
by integrating
LLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.)
with enterprise and external data sources.
Develop
MCP-based integrations
to connect tools, APIs, and enterprise data systems with LLMs.
Build APIs and microservices for
AI-powered search, summarization, and conversational AI
.
Create
document ingestion pipelines
(PDFs, databases, SharePoint, etc.) and manage embeddings with
vector databases (Pinecone, Weaviate, FAISS, Qdrant, Azure Cognitive Search, etc.)
.
Collaborate with AI engineers, architects, and data teams to ensure scalable deployment of RAG/MCP solutions.
Optimize application
performance, security, and scalability
for production-grade AI systems.
Stay updated with
AI frameworks, MCP standards, and cloud AI services
.

Required Skills & Experience:

Minimum of 8 years of IT experience with 1+ years of AI experience
Strong hands-on experience in
Python
.
Solid understanding of
OOP, REST APIs, and microservices architecture
.
Proven experience with
LLM-based applications
and
RAG (Retrieval-Augmented Generation)
integration.
Knowledge and practical implementation of
Model Context Protocol (MCP)
for AI tool orchestration.
Familiarity with
vector databases
(FAISS, Pinecone, Weaviate, Qdrant, Azure Cognitive Search).
Hands-on experience with
LangChain, LlamaIndex, Hugging Face Transformers
, or similar AI libraries.
Strong problem-solving and cross-functional collaboration skills.

Good to Have:

Experience with
containerization (Docker, Kubernetes)
.
Experience with
cloud AI services (Azure, AWS, GCP)
for deployment and scaling.
Exposure to
SQL/NoSQL databases
for structured and unstructured data.
Prior experience in
chatbot development, enterprise search, or knowledge management systems
.
Understanding of
MLOps practices
for AI model deployment and monitoring.

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Paris France

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Python Ai Developer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Key Responsibilities:

Python

RAG pipelines

LLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.)

MCP-based integrations

AI-powered search, summarization, and conversational AI

document ingestion pipelines

vector databases (Pinecone, Weaviate, FAISS, Qdrant, Azure Cognitive Search, etc.)

performance, security, and scalability

AI frameworks, MCP standards, and cloud AI services

Required Skills & Experience:

Python

OOP, REST APIs, and microservices architecture

LLM-based applications

RAG (Retrieval-Augmented Generation)

Model Context Protocol (MCP)

vector databases

LangChain, LlamaIndex, Hugging Face Transformers

Good to Have:

containerization (Docker, Kubernetes)

cloud AI services (Azure, AWS, GCP)

SQL/NoSQL databases

chatbot development, enterprise search, or knowledge management systems

MLOps practices

More Jobs at Capgemini