Fullstack Gen AI Engineer

3 - 8 years

10 - 20 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a Software Engineer with expertise in AI/ML and Full stack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions.

Skills:

P1 (must to have Skills)

Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph / Vector Databases.

P2 (need to have Skills )

FastAPI, NodeJS / Intuitive UI/UX Design: Either React or Typescript or Next.js.

P3 (nice to have Skills)

LlamaIndex / Integration of SLM/LLMs.

Required Skills

  • Generative AI Expertise

    : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
  • Advanced Python Programming

    : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph.
  • Vector Databases

    : Strong skills in managing and utilizing vector databases for AI solutions.
  • FastAPI & NodeJS

    : Experience in building backend services using FastAPI or NodeJS.
  • UI/UX Design

    : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React.
  • LlamaIndex & SLM/LLM Integration

    : Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications.

Preferred Education and Experience:

  • Bachelors/masters degree in computer science, AI, Machine Learning, or related field.
  • At least 3 years in full-stack development with a focus on AI.
  • Proven track record leading small engineering teams and delivering complex AI-driven products.
  • Direct client-facing experience, from requirements gathering to final delivery.

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