Generative AI Engineer

GEN AI Developers

Exp 6 10 years

Pune

Hybrid Working

About the Role

GenAI Developers

Key Responsibilities

• Develop and deploy

  Generative AI applications

  using LLMs (OpenAI, Anthropic, Hugging Face) and multimodal models.
• Design and optimize

  prompt engineering strategies

  for text, image, and code generation tasks.
• Build

  custom pipelines for fine-tuning and model adaptation

  using frameworks like

  Hugging Face Transformers

  .
• Integrate

  GenAI capabilities

  into enterprise workflows via APIs and microservices.
• Implement

  retrieval-augmented generation (RAG)

  using vector databases (Pinecone, FAISS, Chroma).
• Collaborate with data engineering teams to prepare and curate datasets for model training and evaluation.
• Ensure

  scalability, security, and compliance

  in AI-driven applications.
• Monitor and evaluate model performance using

  MLflow or similar tracking tools

  .
• Stay updated on emerging GenAI technologies and contribute to innovation initiatives.

Required Skills

• Strong proficiency in

  Python

  and libraries like

  LangChain, Hugging Face, FastAPI

  .
• Hands-on experience with

  LLMs, prompt engineering, and fine-tuning techniques

  .
• Familiarity with

  vector databases

  and

  RAG architectures

  .
• Knowledge of

  cloud platforms (AWS, Azure, GCP)

  and containerization (Docker, Kubernetes).
• Experience with

  CI/CD pipelines

  and MLOps practices.
• Understanding of

  data governance, security, and ethical AI principles

  .

Preferred Qualifications

• Exposure to

  multimodal AI (text, image, audio)

  .
• Experience with

  Databricks, MLflow, and Unity Catalog

  .
• Contributions to

  open-source AI projects

  or published research in GenAI.