Full-Stack AI Engineering Lead - AITDS

Cognizant


Date: 2 hours ago
City: Hyderabad, Telangana
Contract type: Full time
Full-Stack AI Engineering Lead

Role Overview

A hands-on technical lead and senior developer responsible for the end-to-end backend stack—from LLM orchestration and data design to scalable API design—ensuring seamless integration with frontend applications.

Key Responsibilities

  • Build & Deploy AI Solution
  • Design and develop backend services and APIs using Python (FastAPI).
  • Implement microservices and event-driven architectures where appropriate.
  • Ensure the platform is scalable, performant, and maintainable.
  • Mentor junior developers on coding best practices, patterns, and technical problem solving.
  • Collaborate with UI engineers (React/Angular) to integrate backend APIs and support delivery of modular, maintainable micro-frontends.
  • Experience developing in React is a plus.
  • Oversee Implementation on Cloud Infrastructure
  • Collaborate with infra team for required services on Azure, AWS, or GCP.
  • Implement serverless, containerized, and microservices-based architectures.
  • Guide integration of databases (SQL and NoSQL) with backend and frontend services.
  • Implement Modern Software Engineering Practices
  • Provide hands-on guidance for backend and oversee frontend development.
  • Implement CI/CD pipelines and observability for the platform.
  • Optimize application performance, reliability, and maintainability.

Required Capabilities / Skills / Experience

  • 8+ years of software engineering experience with a focus on building scalable backend systems. Proven track record of shipping AI/GenAI Solutions.
  • Hands-on experience in Python (FastAPI), RESTful APIs, microservices, SQL/NoSQL/Vector databases.
  • Experience developing with LLMs and agentic frameworks such as MAF/Autogen/ADK.
  • Experience collaborating with frontend teams developing in React or Angular.
  • Strong experience in one or more cloud platform (Azure/AWS/GCP) and cloud-native application design.
  • Practical knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
  • Strong problem-solving, coding, and system design skills focused on scalable, maintainable solutions.

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