Job Description

Role

We are seeking a Generative AI Engineer to design, develop, and deploy state-of-the-art generative models across text, image, code, or audio domains. You’ll work with large language models (LLMs), diffusion models, or transformers to create intelligent applications and systems that push the boundaries of creativity, automation, and human-computer interaction.

This role is ideal for engineers passionate about applying deep learning and generative modeling to build tools, products, and workflows with real-world impact. 

Key Responsibilities

Design, fine-tune, and deploy generative models using architectures such as GPT, Stable Diffusion, or custom transformers.

Implement and optimize inference pipelines for real-time or batch generation (text, image, code, audio)

Collaborate with researchers, product teams, and designers to integrate generative AI into products or user-facing tools Build data pipelines for model training, evaluation, and continual learning.

Monitor model performance, address bias or hallucination issues, and improve output reliability Stay current with research in generative AI and contribute to model selection, benchmarking, and experimentation 

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Do

• Align and focus on continuous integration (CI) and continuous deployment (CD) of technology in applications 
  • Plan and Execute the DevOps pipeline that supports the application life cycle across the DevOps toolchain — from planning, coding and building, testing, staging, release, configuration and monitoring
  • Manage the IT infrastructure as per the requirement of the supported software code
  • On-board an application on the DevOps tool and configure it as per the clients need
  • Create user access workflows and provide user access as per the defined process
  • Build and engineer the DevOps tool as per the customization suggested by the client 
  • Collaborate with development staff to tackle the coding and scripting needed to connect elements of the code that are required to run the software release with operating systems and production infrastructure
  • Leverage and use tools to automate testing & deployment in a Dev-Ops environment
• Provide customer support/ service on the DevOps tools 
  • Timely support internal & external customers on multiple platforms
  • Resolution of the tickets raised on these tools to be addressed & resolved within a specified TAT
  • Ensure adequate resolution with customer satisfaction
  • Follow escalation matrix/ process as soon as a resolution gets complicated or isn’t resolved
  • Troubleshoot and perform root cause analysis of critical/ repeatable issues 

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Deliver

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