Gen Ai Engineer

220

Pune, India
Hybrid
Generative ai/ml solutions
Llms and rag pipelines
Agentic ai workflows
Design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing

Job Summary

  • Design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing.
  • Work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems.
  • Create data strategy, ingestion, transformation, enrichment, validations, and quality checks via pipelines for AI ingestion, preprocessing, and governance.

Matching Summary

Design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing.

Skills & Requirements

Must-have

  • Generative AI/ML solutions
  • LLMs and RAG pipelines
  • Agentic AI workflows
  • Cloud-native AI services
  • Python and LLM frameworks
  • Vector databases
  • Production-ready code

Nice-to-have

  • Generative agents with memory
  • Real-time AI streaming
  • Open-source GenAI contributions

Key Requirements

  • Experience with LLMOps teams
  • Experience with containerized deployments
  • Experience with multi-modal AI

Work Rights

Not specified

Tailored Resume

Cover Letter