GenAI Engineer

1 - 6 years

3 - 8 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview
Build and deploy generative AI solutions using LLM fine-tuning, RAG architectures, and agentic AI systems.
Responsibilities
  • Fine-tune large language models for domain-specific applications and use cases
  • Design and implement RAG (Retrieval Augmented Generation) pipelines with vector databases
  • Build agentic AI systems with autonomous decision-making and tool-using capabilities
  • Optimize LLM performance through prompt engineering, parameter tuning, and model selection
  • Develop and deploy production-ready GenAI applications and APIs
  • Evaluate model performance, conduct A/B testing, and iterate on solutions
  • Collaborate with cross-functional teams to integrate GenAI into products
Requirements
  • Bachelors degree

    in Computer Science, Engineering, AI/ML, or related field
  • Strong experience with

    LLM fine-tuning

    (LoRA, QLoRA, full fine-tuning, PEFT methods)
  • Proven expertise building

    RAG systems

    with vector databases and embeddings
  • Hands-on experience developing

    agentic AI

    solutions and multi-agent systems
  • Proficiency with LLM frameworks (LangChain, LlamaIndex, Haystack)
  • Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Strong Python programming skills
  • Understanding of transformer architectures and LLM APIs
Preferred
  • Experience with distributed training and GPU optimization
  • Knowledge of MLOps, model deployment, and monitoring
  • Familiarity with Hugging Face ecosystem
  • Experience with prompt optimization and evaluation frameworks
  • Understanding of LLM safety, alignment, and guardrails
  • Background in NLP or deep learning research
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