Gen AI Engineer

2 days ago

Delhi, Delhi, India GlobalLogic Full time ₹ 12,00,000 - ₹ 36,00,000 per year

  • Job Description – AI/ML Engineer (Generative AI & LLMs

  • About the Role

  • We are looking for a passionate
    AI/ML Engineer
    with strong expertise in
    Generative AI, LLM integration, and RAG-based applications
    . The ideal candidate will have hands-on experience in building, deploying, and optimizing AI-powered solutions such as chatbots, knowledge assistants, and semantic search systems. You will collaborate with cross-functional Agile teams to rapidly prototype, fine-tune, and productionize intelligent applications.
  • Key Responsibilities
  • Design, develop, and deploy
    Generative AI applications
    such as
    RAG pipelines, chatbots, and knowledge assistants
    .
  • Integrate and fine-tune
    LLMs
    for domain-specific use cases.
  • Implement
    semantic search solutions
    using
    vector databases
    (Pinecone, FAISS, Weaviate).
  • Build scalable APIs using
    FastAPI/Flask/Django
    to serve AI models.
  • Apply
    MLOps practices
    (CI/CD, experiment tracking, monitoring) using
    MLflow, GitHub Actions, Docker, and cloud platforms (Azure/GCP)
    .
  • Collaborate with product managers, data scientists, and engineers in
    Agile teams
    to deliver business-ready solutions.
  • Conduct prompt engineering and optimization for efficient model interaction.
  • Ensure performance, reliability, and security in deployed AI systems.
  • Required Skills
  • Programming:
    Python, PyTorch, TensorFlow
  • Frameworks:
    LangChain, Hugging Face, Agile, Prompt Engineering, RAG
  • Databases:
    SQL/NoSQL, Vector DBs (Pinecone, FAISS, Weaviate)
  • Cloud & DevOps:
    Docker, GitHub Actions, MLflow, Azure OpenAI (experience with GCP/AWS is a plus)
  • APIs:
    FastAPI, Flask, Django
  • Strong debugging, rapid prototyping, and collaboration skills.
  • Good to Have
  • Prior experience delivering
    AI-powered search tools, knowledge assistants, or automation solutions
    .
  • Familiarity with multi-cloud deployments.
  • Exposure to reinforcement learning, model evaluation frameworks, and advanced NLP techniques.
  • Strengths We Value
  • Hands-on coding and problem-solving ability.
  • Ability to translate business needs into scalable AI solutions.
  • Strong teamwork and Agile collaboration.
  • Curiosity to explore and quickly adopt new AI technologies.

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