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GenAI Engineer

2 weeks ago


Bengaluru, Karnataka, India Novia Infotech Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Title: GenAI Engineer / Specialist

Location: Bangalore, Kochi, Delhi, Pune, Bhubaneswar (Hybrid / Onsite as per project need)

Experience: 5 – 8 Years

Job Description

We are seeking an experienced GenAI Engineer with strong expertise in building and deploying Generative AI solutions. The ideal candidate will have hands-on experience in AI/ML model development, prompt engineering, LLM fine-tuning, and integration of GenAI solutions into enterprise applications. This role requires both technical depth and innovative problem-solving ability to drive AI adoption across business use cases.

Key Responsibilities

  • Design, develop, and deploy Generative AI/LLM-based solutions for enterprise applications.
  • Work on prompt engineering, model fine-tuning, and RAG (Retrieval Augmented Generation) approaches.
  • Collaborate with data engineering teams to prepare, clean, and optimize datasets for training/fine-tuning models.
  • Integrate AI models with cloud platforms and enterprise systems (Azure, AWS, GCP).
  • Develop APIs and microservices to expose AI/ML functionalities.
  • Research and evaluate emerging tools, frameworks, and LLM providers (OpenAI, Anthropic, HuggingFace, etc.).
  • Ensure AI solutions are scalable, secure, and compliant with enterprise standards.
  • Work closely with cross-functional teams (Data Scientists, Engineers, Product Owners) to deliver AI-driven applications.

Required Skills & Experience

  • 5–8 years of overall IT experience with at least 2+ years in AI/ML/GenAI projects.
  • Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow).
  • Experience with LLMs (GPT, LLaMA, Claude, Falcon, etc.), embeddings, and vector databases (Pinecone, Weaviate, FAISS).
  • Hands-on with prompt engineering, fine-tuning, and RAG pipelines.
  • Exposure to cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
  • Familiarity with MLOps, CI/CD for AI models, and containerization (Docker, Kubernetes).
  • Strong problem-solving skills, ability to translate business needs into AI-driven solutions.