Full Stack AI Engineer

5 - 8 years

4 - 7 Lacs

Gurgaon Haryana India

Posted:2 weeks ago

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Job Description

Key Responsibilities

Cloud-Native Application Development

  • Build, scale, and maintain cloud-native applications running on Kubernetes
  • Develop backend services using Spring Framework and REST-based architectures
  • Ensure solutions meet functional, non-functional, scalability, and support requirements
  • Align implementations with Global Technology Strategies

AI and Advanced Analytics Integration

  • Integrate AI/ML models and APIs for personalization, NLP, recommendations, and decision engines
  • Implement Retrieval-Augmented Generation (RAG) and vector database solutions
  • Leverage large language models and agentic workflows for real-world use cases
  • Apply ethical, secure, and responsible AI development practices

Data Platform Enablement

  • Enable data-driven capabilities through integration with Snowflake and enterprise data platforms
  • Partner with data engineers to unlock insights for automation and intelligent decisioning
  • Support real-time and streaming data use cases where applicable

Collaboration and Technical Leadership

  • Partner with architects, product managers, and platform teams to design intelligent features
  • Provide mentorship and guidance on AI-related initiatives and best practices
  • Contribute across the SDLC from model integration to service deployment
  • Share knowledge through internal tech forums, AI guilds, and continuous learning initiatives

Customer-Centric Engineering and Innovation

  • Use customer feedback, analytics, and behavioral data to refine AI-driven capabilities
  • Promote modernization of legacy platforms into next-generation intelligent systems
  • Utilize GenAI tools for prototyping, automated testing, documentation, and code reviews

Work Mode

On-site

Job Type

Full Time

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