AI/LLM Senior Engineer

Capgemini Engineering

Bengaluru

Remote

INR 1,400,000 - 2,400,000

Full time

2 days ago
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Benefits offered by this job

Remote work options
Flexible schedules
Learning and certification programs
Inclusive culture

Job summary

Capgemini Engineering is seeking an AI / LLM Engineer in Bengaluru to design and build LLM/AI solutions for autonomous network operations. You will develop multi-agent workflows using LangChain and related tools, implement advanced retrieval systems, and create AI agents for fault diagnosis and KPI analysis.

The role emphasizes hands-on implementation of transformers, embeddings, and scalable cloud-native deployments, with remote work options and a flexible schedule.

Qualifications

  • 5+ years in AI/ML, software, or data engineering.

Responsibilities

  • Design and build LLM, RAG, and agentic AI solutions for autonomous network operations.

Skills

Python programming
ML fundamentals
KPI modeling
Telecom ops

Tools

LangChain
LangGraph
LlamaIndex
AutoGen
MCP
vector databases
graph databases
data pipelines
transformers
embeddings

Job description

AI / LLM Engineer

Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping leading Consumer Products and Retail Services (CPRS) organizations unlock the value of technology and drive scalable, sustainable growth.

Job Description

AI / LLM Engineer Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping leading Consumer Products and Retail Services (CPRS) organizations unlock the value of technology and drive scalable, sustainable growth.

Your Role:
  • Design and build LLM, RAG, and agentic AI solutions for autonomous network operations.
  • Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks.
  • Implement semantic, vector, graph-based, and hybrid retrieval systems.
  • Create AI agents for fault diagnosis, RCA, KPI analysis, incident summarization, and decision support.
Required Experience
  • 5+ years in AI/ML, software, or data engineering.
  • 2+ years developing LLM, RAG, semantic search, or agentic AI solutions.
  • Strong Python programming and ML fundamentals.
  • Experience with transformers, embeddings, and LLM architectures.
  • Hands-on experience with LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar.
  • Experience with vector databases, graph databases, and data pipelines.
  • Knowledge of AIOps, predictive analytics, KPI modeling, and telecom operations.
  • Experience deploying AI applications in cloud-native environments.
You’ll Love About Working Here
  • We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.
  • Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.
  • You’ll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI.
About Us

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.

Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transformation to address the evolving needs of customers and citizens. With a strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs—from strategy and design to operations.

To achieve this, Capgemini draws on the capabilities of its 360,000 team members in more than 50 countries, all driven by the purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization with market-leading capabilities in digital, cloud, and data.

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