Wipro - Generative AI Engineer

Preferred Location : Pune/Hyderabad/Bangalore/Chennai

Job Requirements :

- Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.

- Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs

- Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP

- Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)

- Experience with DevOps tools : Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.

- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

- 5+ years of engineering and technical deployment experience in a customer-facing set up

- Should scoped and delivered complex systems in rapid and ambiguous environments

- Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks

- Understand how AI model behaviour affects product experience

- Communicate clearly with engineers, product teams, and customer stakeholders

- Flag risks early and seek attention as per the severity

Key responsibilities :

- Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed

- Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams

- Own technical delivery across multiple deployments from prototype to stable release

- Build bespoke AI and transformative agentic AI solutions

- Technical debugging and root cause analysis

- Rapid prototyping

- Implement and administer best practices