Job description

Role	Sr. AI Development Engineer
Visit our website bmwtechworks.in to know more. Follow us on LinkedIn I Instagram I Facebook I X for the exciting updates.
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	Bachelor’s or master’s in computer science, Data/AI, AI/ML or equivalent experience.

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Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

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Job description

Role	Sr. AI Development Engineer
Visit our website bmwtechworks.in to know more. Follow us on LinkedIn I Instagram I Facebook I X for the exciting updates.
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	Bachelor’s or master’s in computer science, Data/AI, AI/ML or equivalent experience.