Required Experience, minimum: 4 years
Required Experience, maximum: 7 years
Skills: Analysis & Problem Solving, Data Science, Machine Learning, Python, Cloud, Natural Language Processing - NLP, Software Engineering, Coding Experience
Minimum Qualification: B.Tech/B.E
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
- Embedding Models
- 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
- LlamaIndex
- Hugging Face
- PyTorch / TensorFlow
Cloud & Platform Engineering
Strong experience with:
- AWS (S3, STS, IAM, Secrets Manager, boto3)
- ECS & EC2
- Fargate
- Docker & Containerization
- REST APIs
- OAuth2 Authentication
- MCP (Model Context Protocol)
- 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.
