Gen Ai Engineer

Dentsu Aegis Network

Pune, India
Hybrid
Llm, rag, agentic workflows
Cloud-native ai services
Llmops pipelines, enterprise deployment
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

  • LLM, RAG, agentic workflows
  • Cloud-native AI services
  • LLMOps pipelines, enterprise deployment
  • Python, Node.js, Rust coding
  • Vector databases, embeddings
  • Multi-cloud/hybrid cloud integration

Nice-to-have

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

Key Requirements

  • Experience evaluating LLM applications
  • Experience building RAG-based solutions
  • Familiarity with Edge AI frameworks
  • Multi-modal AI experience
  • Containerized deployments (Docker, Kubernetes)

Work Rights

Not specified

Tailored Resume

Cover Letter