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AI / GenAI Engineer

Lenovo -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
2 days ago

Qualifications

BCS
CI/CD
Law
Computer Science
MCP
Git
Bachelor's degree
Machine learning
Continuous integration
REST
APIs
Data science
AI
Python
Data Science

Full job description

General Information

Req #

WD00099863

Career area:

Hardware Engineering

Country/Region:

India

State:

Karnataka

City:

BANGALORE

Date:

Wednesday, June 17, 2026

Working time:

Full-time

Additional Locations:

India - Karnātaka - Bangalore

India - Karnātaka - BANGALORE

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Role Summary

We are looking for an AI/ML Engineer with strong Python skills and a passion for building production-ready AI systems. In this role, you will contribute to developing and deploying LLM-based applications, including multi-agent systems and RAG pipelines, while ensuring scalability, reliability, and cost efficiency.

Key Responsibilities

Model Integration: Assist in deploying and maintaining machine learning models into production environments using Python and cloud services.
Agentic Frameworks: Hands-on experience with LangGraph, CrewAI, or AutoGen to build multi-agent systems that can reason, plan, and execute multi-step tasks.
RAG: Understanding of advanced Retrieval-Augmented Generation (RAG) techniques, including hybrid search, reranking, and semantic chunking using vector databases like Pinecone, Weaviate, or Chroma.
Model Context Protocol (MCP): Familiarity with implementing MCP servers to help LLMs interact securely with external tools and data sources.
Data Pipeline Support: Help clean, preprocess, and augment datasets to improve model training and evaluation.
Prompt Engineering: Design, test, and iterate on system prompts to ensure high-quality and safe AI outputs.
Token Optimization: Ability to manage context window limits and optimize token usage to balance model performance with operational costs.
MLOps Basics: Experience with CI/CD pipelines tailored for AI, including model versioning and automated testing of prompts within the development lifecycle.
Collaboration: Participate in code reviews, sprint planning, and technical documentation to ensure code quality and knowledge sharing.
Continuous Learning: Stay up-to-date with the latest AI research, libraries, and tools to suggest improvements to our tech stack.

Qualifications:

Education: Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).
Programming: Proficiency in Python
AI Foundations: Basic understanding of machine learning concepts (Supervised vs. Unsupervised learning)
Web Basics: Familiarity with RESTful APIs and how to integrate them into a backend.
Version Control: Solid grasp of Git and collaborative workflows.
Problem Solving: A "hacker" mindset—willing to experiment, fail fast, and iterate on complex problems.
Experience : 5+ years of relevant experience

Additional Locations:

India - Karnātaka - Bangalore

India - Karnātaka - BANGALORE

India

India - Karnātaka

* India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE

NOTICE FOR PUBLIC

At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative.

Please beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment.

Kindly verify job offers through the official Lenovo careers page or contact [email protected]. Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.

Apply Now

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