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Data Science GenAI Engineer

EXLGurugram🇮🇳India

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationGurugram, India
FastAPIGCPMicroservicesAWSMLOpsNLPComplianceGPTLLMPythonGenerative AIAzureJavaScriptTypeScriptPrompt EngineeringCI/CDLangChainLangGraphRAGSystem Design

Job description

  • 4–6 years of overall software engineering or ML experience.
  • 2+ years of hands-on experience in Generative AI, LLMs, or applied NLP.
  • Strong programming skills in Python (required); experience with JavaScript/TypeScript is a plus.
  • Practical experience with:
    • LLM APIs and frameworks (e.g., OpenAI-compatible APIs, LangChain, LlamaIndex)
    • Prompt engineering and RAG architectures
    • Vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma)
  • Experience deploying ML/AI solutions in cloud environments (AWS, Azure, or GCP).
  • Solid understanding of data structures, APIs, and system design.
  • Ability to write clean, maintainable, and testable code.
  • Design, develop, and deploy Generative AI applications using LLMs (e.g., GPT-based, open-source models).
  • Build and optimize prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning pipelines.
  • Integrate GenAI models into production systems using APIs, microservices, and cloud platforms.
  • Collaborate with product managers, data scientists, and backend engineers to translate business needs into AI-driven solutions.
  • Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
  • Implement monitoring, logging, and feedback loops for continuous model improvement.
  • Stay current with emerging GenAI frameworks, tools, and best practices.
  • Ensure compliance with security, privacy, and responsible AI guidelines.
  • Experience in RAG based applications using LangGraph and FastAPI.
  • Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
  • Knowledge of NLP concepts such as embeddings, transformers, and tokenization.

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