Generative AI Research Engineer - Comput...

BMW TechWorks India Private Limited; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

BMW TechWorks India Private Limited in Bengaluru seeks a Generative AI Research Engineer to design, develop, and deploy cutting‑edge AI/ML and enterprise AI platforms for automotive applications. You will work on Generative AI, LLMs, and foundation models, building AI-powered services that integrate with global workflows.

Responsibilities include deploying scalable AI solutions, fine‑tuning models, and advancing agent capabilities with planning and tool usage.

Qualifications

• 4+ years of experience in AI/ML development and production deployment.
• Strong experience with Generative AI, LLMs, SLNs/Foundation Models and transformer architectures.
• Experience with RAG, knowledge graphs, semantic search, and vector databases is preferred.

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.

Skills

Generative AI

LLMs

SLMs

Foundation Models

Transformer Architectures

Multimodal Models

Prompt Engineering

Context Engineering

Model Fine-tuning

Tools

LangChain

LangGraph

PyTorch

TensorFlow

AWS

Docker

REST APIs

Cloud-Native Deployments

Job description

Generative AI Research Engineer - Comput...

BTWI/-IS/1704936

• Digital Car
• Bengaluru

Posted On 11 Aug 2026

End Date 25 Aug 2026

Required Experience NA

Skills

Skill

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.