Generative AI Engineer

On-siteSalary not specified
India

Tech Stack

LangChainPythonRAGHugging Face Transformers

Job Description, Responsibilities & Requirements

About the Position

We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more.

Responsibilities

  • Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases.
  • Build and fine-tune LLM-based applications such as: Chatbots, Document Q&A systems, Report generators, Code assistants, and Summarization tools.
  • Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance.
  • Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js.
  • Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures.
  • Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML.
  • Monitor model performance, detect drift, and drive continuous improvement.
  • Optimize inference performance and cost through model compression, quantization, and API optimization.
  • Ensure compliance with AI ethics, security, and governance standards.
  • Prepare and curate training datasets (structured/unstructured text, images, code).
  • Apply data preprocessing, tokenization, and embedding generation techniques.
  • Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval.
  • Partner with business stakeholders to identify and shape impactful AI use cases.
  • Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components.
  • Support POCs, pilots, and full-scale implementations using agile methodologies.
  • Document and present solution designs, technical findings, and outcomes to leadership and clients.

Requirements

  • Must have

    • Overall 7+ years of experience and relevant 4+ years of GenAI.
    • Strong programming skills in Python (preferred), with experience in Java or Node.js.
    • Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models.
    • Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning.
    • Familiarity with RAG pipelines, embedding models, and vector databases.
    • Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services.
    • Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
    • Strong understanding of data engineering, data pipelines, and ETL workflows.
    • Excellent problem-solving, communication, and stakeholder engagement skills.
    • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.
  • Nice to have

    • Java
    • Node.js
    • Embedding models
    • Vector databases
    • ETL workflows

We Offer

  • Competitive salary
  • Opportunity to work with cutting-edge AI technologies
  • Collaborative and innovative work environment
  • Professional development opportunities

About the Company

Join our dynamic team and contribute to the future of AI and machine learning.


Location: Gurugram, India

Apply for Generative AI Engineer in Gurugram

Job Details

Company name:
Luxoft
Location:
India
Work Mode:
On-site
Posted on TheJob:
Jun 13, 2026
Last checked:
Aug 14, 2026
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