Sr. AI Development Engineer

Required Experience, minimum: 6 years

Required Experience, maximum: 12 years

• Skills: AI, Analysis \& Problem Solving, Machine Learning, Speech Processing, Natural Language Processing \- NLP, Computer vision, Time Series Analysis, Cloud Computing, CI/CD Pipeline, Python

Minimum Qualification: B.Tech/B.E

• Others

• *Role**

Sr. AI Development Engineer

• *Visit our website** **bmwtechworks.in** **to know more.**

• *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.