Generative AI Engineer

Responsibility

Job Title: Generative AI Engineer
Experience: 6+ Years
Employment Type: Permanent 
Location: Mumbai / Bangalore / Gurugram / Chennai
Work Mode: Hybrid (3 Days Work from Office – Mandatory)

Role Summary

We are looking for an experienced Generative AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and AI application development. The ideal candidate should have hands-on experience in designing, developing, and deploying AI-powered solutions while leveraging modern cloud platforms, open-source frameworks, and Generative AI technologies.

Key Responsibilities

• Design and implement advanced solutions using Large Language Models (LLMs)
• Take ownership of end-to-end AI solution development and delivery
• Conduct research and stay up to date with the latest advancements in Generative AI and LLM technologies
• Develop and maintain reusable code libraries, tools, and frameworks for AI applications
• Participate in code reviews and ensure high code quality standards
• Contribute throughout the software development lifecycle, including design, development, testing, deployment, and maintenance
• Collaborate with cross-functional teams to align technical roadmaps and integrate AI solutions into enterprise systems
• Analyze complex business problems and develop AI-driven solutions
• Communicate effectively with technical and business stakeholders

Primary Skills

Natural Language Processing (NLP)

• Hands-on experience in:
  • Use case classification
  • Topic modeling
  • Question Answering (Q&A) and chatbots
  • Enterprise search
  • Document AI
  • Text summarization
  • Content generation

OR

Computer Vision & Audio

• Hands-on experience in:
  • Image classification
  • Object detection
  • Image segmentation
  • Image generation
  • Audio and video analysis

Generative AI

• Strong experience with SaaS-based LLM platforms and frameworks, including:
  • LangChain
  • LlamaIndex
  • Vector databases
  • Prompt Engineering (Chain of Thought, Tree of Thought, ReAct, AI Agents)
  • Azure OpenAI
  • Google Vertex AI
  • AWS Bedrock (text, audio, image, and video modalities)
• Experience with open-source LLM ecosystems, including:
  • TensorFlow
  • PyTorch
  • Hugging Face
  • Quantization techniques
  • LLM fine-tuning using PEFT
  • Reinforcement Learning from Human Feedback (RLHF)
  • Data annotation workflows
  • GPU optimization and utilization

Cloud

• Hands-on experience with cloud platforms such as:
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
• Cloud certifications are preferred

Application Development

• Strong proficiency in:
  • Python
  • Docker
  • FastAPI, Django, or Flask
  • Git