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Sr. AI Development Engineer

BMW TechWorks

Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer

Posted: 14 October 2026 (12 hours ago)

Application Deadline: 11 January 2027

Vacancies: 1 Vacancy

Job Summary

Role	Sr. AI Development Engineer
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Location	Bangalore
Experience:	6 to 12 years overall IT experience with 2 years in Agentic AI and GenAI
Number of openings	1
What awaits you/ Job SPOC Profile	Team: FG-4 Quality AI Delivery Factory Samuel Asha Kiran Tatapudi Experience 8-10 years of professional experience in Artificial Intelligence Machine Learning Data Science or Software Engineering with a strong focus on Generative AI solution development and deployment. Proven experience designing building and deploying production-grade Agentic AI applications and multi-agent systems at enterprise scale. Demonstrated success delivering end-to-end AI solutions from ideation and architecture through deployment monitoring and continuous improvement. Experience leading AI initiatives collaborating with cross-functional stakeholders and mentoring engineering teams. Technical Skills Strong programming expertise in Python and modern software engineering practices. Hands-on experience with AI/ML frameworks and libraries including: PyTorch TensorFlow LangChain LangGraph AutoGen CrewAI or similar agentic AI frameworks N8N Deep understanding of: Large Language Models (LLMs) Generative AI architectures Prompt engineering Fine-tuning methodologies Retrieval-Augmented Generation (RAG) AI evaluation and guardrails Cloud & DevOps Strong hands-on experience deploying scaling and operating AI applications on AWS and/or Azure. Experience working with: Amazon Bedrock Amazon SageMaker Azure OpenAI Service Azure Machine Learning EC2 / Azure Virtual Machines Cloud storage and networking services Expertise in containerized deployments using Docker and Kubernetes. Experience establishing and managing CI/CD pipelines using: Jenkins Github/Github actions GitLab CI/CD Azure DevOps AWS CodePipeline MLOps & Production AI Strong experience implementing MLOps best practices including model versioning monitoring observability governance and lifecycle management. Experience managing and optimizing AI systems in production environments ensuring scalability reliability security and performance. Familiarity with AI application monitoring evaluation frameworks and cost optimization strategies for cloud-based AI workloads. Leadership & Collaboration Proven ability to lead technical design discussions and drive AI solution architecture decisions. Experience mentoring junior engineers and fostering engineering excellence within teams. Strong stakeholder management communication and presentation skills. Ability to operate effectively in a fast-paced agile and globally distributed engineering environment. Business fluent in English (written and spoken).
What should you bring along (Must have)	8 to 10 years IT experience; 2 years GenAI development. 2 years leading engineering teams or features. Python FastAPI expertise. Experience with TensorFlow PyTorch LangChain LangGraph DSPy. Experience in Langgraph langchain n8n etc. RAG architecture implementation experience. Cloud (AWS/Azure) Docker and Kubernetes exposure. Experience with n8n MCP and agent architectures.
What should you bring along (Good to have)	Angular/JavaScript familiarity. Experience in automotive domain. LLM evaluation frameworks and safety practices. Knowledge graph and hybrid retrieval experience.
Education	Bachelors or masters in computer science Data/AI AI/ML or equivalent experience.