AI Customer Engineer

In this position, you will:

• Create and release AI agents and GenAI-powered applications using contemporary frameworks and platforms
• Build RAG pipelines, prompt engineering workflows, and LLM integrations
• Engineer scalable backend services and APIs that support AI-driven systems
• Implement cloud-native deployments through containerization and a microservices architecture
• Work with cross-functional teams to provide dependable, secure, and high-performing AI solutions

At Cognizant, we aim to offer flexibility whenever possible and support a healthy work-life balance through our wellbeing programs. According to the business needs for this role, this is an onsite position with 5 days a week in a client or Cognizant office in [Chennai/Bangalore].

The details of the working arrangements listed here are accurate as of the posting date. These may be adjusted depending on the project you are assigned to, as well as business and client requirements. We will always clearly communicate role expectations.

Required qualifications to be considered

• Practical experience with Google ADK or CoPilot Studio for building AI Agents (or any tool such as CrewAI, Autogen for agent development)
• Hands-on expertise in defining and configuring prompts, instructions, tools, reasoning, guardrails, and other comparable concepts for AI Agent development
• Strong background with RAG pipelines, Vector DBs, tokenization, and prompt engineering
• Practical experience creating and maintaining Python libraries, using LangChain, Hugging Face, OpenAI API, or local models
• Very strong experience building RESTful APIs in Python using frameworks such as FastAPI, and integrating third-party services, UI components, and APIs
• Hands-on experience with Docker-based deployments, and using GitHub for code repository and version control is MUST
• Ability to interpret microservices design principles and cloud computing fundamentals
• Strong communication and articulation skills