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Agentic AI Engineer

Agentic AI Engineer

Cognizant Consulting
5-8 Years
Not Disclosed
Early Applicant
  • Posted 13 hours ago
  • Be among the first 10 applicants

Job Description

Experience: 5 to 13 years

Location: Hyderabad

Primary Skills: Agentic AI Engineer

Job Summary

We are looking for a Full Stack Developer with strong, hands-on experience building agentic AI solutions and microservices-based applications.

The ideal candidate will be comfortable working across the stack — from backend services to automated deployment pipelines — and will bring practical experience applying agentic AI frameworks to real-world application workflows.

Key Responsibilities

  • Design, develop, and maintain microservices-based applications using Python, Django, and FastAPI.
  • Build, containerize, and deploy applications using modern container technologies.
  • Implement and manage automation and CI/CD pipelines to streamline build, test, and release cycles.
  • Apply agentic AI frameworks to design and build intelligent, autonomous application workflows.
  • Design and expose REST APIs for integration with other systems and services.
  • Participate in code reviews, design discussions, and troubleshooting of production issues.
  • Work closely with cross-functional teams to translate business requirements into technical solutions.

Required Skills & Experience

  • At least 5 to 6 years of relevant, hands-on experience in full stack / microservices development (6 to 8 years overall experience preferred).
  • Strong hands-on experience with Python, Django, and FastAPI.
  • Practical experience building and deploying containerized applications (Docker, Kubernetes).
  • Experience setting up and maintaining CI/CD / automation pipelines.
  • Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar).
  • Solid understanding of microservices architecture and design patterns.
  • Experience with REST API design and integration.
  • Good working knowledge of Git and standard software engineering practices.
  • Cloud knowledge AWS

Good to Have

  • Experience with front-end frameworks (React/Angular) for full-stack delivery.
  • Exposure to LLM-based application development.

More Info

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