Generative AI Research Engineer - Vehicl...

BMW TechWorks India Private Limited; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

BMW TechWorks India Private Limited is seeking a Generative AI Research Engineer to design, develop, and deploy AI/ML solutions for automotive use cases in Bengaluru. Join a team building next-generation AI for vehicles and mobility services with strong emphasis on foundation models, agentic AI, and enterprise AI platforms.

The role requires 4+ years of AI/ML experience, proficiency in Python and cloud-native deployments, and collaboration with global stakeholders.

Qualifications

• 4+ years of AI/ML development and production deployment.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise and automotive use cases.

Skills

Generative AI

LLMs

SLMs

Foundation Models

Transformer Architectures

Multimodal Models

Prompt Engineering

Context Engineering

Model Fine-tuning

Python

LangChain

LangGraph

PyTorch

TensorFlow

AWS

Docker

REST APIs

Education

B.Tech/B.E

Tools

FAISS

Pinecone

Weaviate

ChromaDB

Milvus

Qdrant

AWS

Docker

Job description

Generative AI Research Engineer - Vehicl...

Posted On 03 Aug 2026

End Date 31 Oct 2026

Required Experience 4 - 7 years

• Digital Car
• Bengaluru

Skills

Skill

Analysis & Problem Solving Data Science Machine Learning Python Cloud Natural Language Processing - NLP Software Engineering Coding Experience

B.Tech/B.E Others

Job Description

What Awaits You!

Join our AI Engineering team and help build next-generation AI solutions for BMW vehicles and digital mobility services. You will work on cutting-edge Generative AI, Agentic AI, Foundation Models, and enterprise AI platforms that power intelligent products and business solutions.

Your Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise and automotive use cases.
• Build LLM-powered applications using RAG, Knowledge Graphs, Vector Databases, and Agentic AI frameworks.
• Develop autonomous AI agents capable of reasoning, planning, tool usage, workflow automation, and multi-agent collaboration.
• Fine-tune and optimize LLMs, SLMs, Foundation Models, Multimodal Models, and Transformer-based architectures.
• Build scalable, secure, and cloud-native AI platforms for enterprise deployment.
• Develop MLOps and LLMOps pipelines for model deployment, monitoring, evaluation, governance, and continuous improvement.
• Integrate AI capabilities into business products and services by collaborating with global stakeholders, software engineers, and data scientists.
• Drive Responsible AI, scalability, reliability, explainability, and security best practices.
• Mentor junior engineers and contribute to technical leadership and innovation initiatives.

Required Skills & Qualifications

AI & Generative AI

• 4+ years of experience in AI/ML development and production deployment.
• Strong experience with:
  • Generative AI
  • Large Language Models (LLMs)
  • Small Language Models (SLMs)
  • Foundation Models
  • Transformer Architectures
  • Multimodal Models
  • Prompt Engineering
  • Context Engineering
  • Model Fine-tuning

RAG & Knowledge Systems

Hands-on experience with:

• Retrieval Augmented Generation (RAG)
• Knowledge Graphs
• Semantic Search
• Hybrid Search
• Graph RAG

Vector Databases

Experience with one or more:

• FAISS
• Pinecone
• Weaviate
• ChromaDB
• Milvus
• Qdrant

Agentic AI

Experience building:

• Autonomous AI Agents
• Multi-Agent Systems
• Agent Orchestration
• Function Calling
• Tool Integration
• Planning & Reasoning Agents
• Human-in-the-Loop Workflows
• Workflow Automation

Programming & Frameworks

• Python
• LangChain
• LangGraph
• PyTorch / TensorFlow

Strong experience with:

• AWS (S3, STS, IAM, Secrets Manager, boto3)
• ECS & EC2
• Fargate
• Docker & Containerization
• REST APIs
• Cloud-Native Deployments

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management.
• Ability to work in global, cross-functional, agile teams.
• Mentoring and technical leadership experience.