Gen AI 2 to 3 years ,Immediate joiners / Notice period serving

Key Responsibilities

• Design, develop, and deploy

  Generative AI solutions

  leveraging LLMs (e.g. OpenAI, Anthropic, Gemini, Mistral).
• Build, fine-tune, and evaluate

  LLMs and multimodal models

  (text, image, voice).
• Integrate AI models with

  APIs and web applications

  to solve business problems.
• Research and apply state-of-the-art methods in

  prompt engineering

  ,

  RAG (Retrieval-Augmented Generation)

  ,

  LangChain

  , and

  vector databases (Pinecone, Chroma, Weaviate)

  .
• Collaborate with product and engineering teams to transform business requirements into

  AI-powered solutions

  .
• Optimize model performance, cost, and latency for production use.
• Stay updated with latest

  GenAI frameworks, libraries, and papers

  to bring innovative ideas into implementation.

Required Skills & Experience

• 2–3 years of hands-on experience in

  AI/ML, NLP, or Generative AI

  projects.
• Strong proficiency in

  Python

  ,

  LLM APIs

  , and frameworks like

  LangChain / LlamaIndex / Hugging Face

  .
• Solid understanding of

  prompt design

  ,

  embedding models

  ,

  vector databases

  , and

  RAG pipelines

  .
• Experience with

  OpenAI API

  ,

  Hugging Face Transformers

  , and

  Fine-tuning models

  .
• Familiarity with

  cloud platforms (AWS, GCP, Azure)

  for model deployment.
• Experience integrating AI models into web apps via

  REST APIs

  or

  microservices

  .
• Good problem-solving, analytical, and communication skills.