Crest Infosystems

1 week ago

Surat, Gujarat, India Crest Infosystems Pvt. Ltd. Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Description
We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications.

The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks.

Natural Abilities

  • Smart, self-motivated, responsible and out of the box thinker.
  • Detail oriented and powerful analyzer.
  • Great writing communication skills.

Requirements

  • 5+ years of total software development experience with a strong foundation in Python.
  • 2-3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment.
  • Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc.
  • Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search.
  • Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma).
  • Exposure to agent frameworks and multi-agent orchestration.
  • Excellent written and verbal communication skills.
  • Proven ability to lead and mentor team members on technical and architectural decisions.

Responsibilities

  • Lead the design and development of GenAI/LLM-based products and solutions.
  • Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques.
  • Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows.
  • Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc.
  • Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents.
  • Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends.
  • Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals

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