Sr. AI Development Engineer

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

Bachelor’s or master’s in computer science, Data/AI, AI/ML or equivalent experience.