10 - 14 years

40 - 45 Lacs

Posted:19 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a forward-thinking Al Engineer to architect and deploy intelligent systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced chunking strategies. This role is ideal for engineers passionate about building scalable, production-grade Al applications that leverage cutting-edge retrieval and generation techniques.

ROLE DESCRIPTION

  • Design and implement RAG pipelines using hybrid search (vector + keyword), semantic ranking, and metadata enrichment
  • Apply chunking strategies (fixed-size, recursive, semantic, agentic) to optimize document segmentation for retrieval and embedding
  • Fine-tune and evaluate LLMs (eg, GPT, LLAMA, Ollama) for tasks such as Q&A, summarization, NER, and sentiment analysis
  • Build multi-agentic systems
  • Integrate Al capabilities into enterprise applications using Azure OpenAl, Azure Search, Azure Functions, and Power Automate
  • Collaborate with stakeholders to translate business needs into scalable Al solutions
  • Ensure model reliability, performance, and ethical compliance across deployments
  • Coordinate and manage the Offshore teamwork
  • Participate and develop reports for the Weekly Status Reports, Monthly Status
  • Reports and Quarterly Status reports
  • Participate in SCRUM and retrospectives
  • Develop, maintain, and enhance the build and release process
  • Manage security compliance of the Azure Subscription resources


SKILLS

  • 10-12+ years of experience as Fullstack developer, with at least 2-4 years in generative Al or RAG systems
  • Programming Languages: Python / C#-experience in building and consuming APISCloud Expertise: Azure Cloud experience
  • Generative Al: Experience with generative Al frameworks for building solutions and evaluation
  • Al Agent Development: Experience in building Al agents; understanding of Agentic Al concepts

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