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Cognizant Hiring 2026 | Python Gen AI Engineer | Chennai | Hybrid | Apply Now

Cognizant Hiring 2026 | Python Gen AI Engineer | Chennai | Hybrid | Apply Now

Application Link

Apply Here:

https://careers.cognizant.com/global-en/jobs/00069794036/python-gen-ai-engineer/


Cognizant Hiring – Python Gen AI Engineer Opportunity

Cognizant is hiring for the position of Python Gen AI Engineer in Chennai, Tamil Nadu. This is a full-time hybrid opportunity for candidates interested in Generative AI, Agentic AI, Python development, Large Language Models, RAG, and modern AI engineering.

The selected candidate will work on production-grade AI solutions using technologies such as Python, LangChain, LangGraph, LLMs, APIs, microservices, CI/CD, AI evaluation, observability, and AI governance.


About Cognizant

Cognizant is a global technology services and AI solutions company focused on helping organizations use technology and artificial intelligence to improve business outcomes. The company works across industries to build technology solutions that combine AI, engineering, data, and industry expertise.


Job Details

Company Name: Cognizant

Position: Python Gen AI Engineer

Job ID: 00069794036

Job Type: Full-Time

Work Mode: Hybrid

Location: Chennai, Tamil Nadu, India

Job Category: Technology & Engineering

Experience: Not Specified

Posted Date: 25 August 2026

Salary / Package: Not Disclosed in the Provided Job Information


Eligibility Criteria

  • Strong proficiency in Python.
  • Hands-on experience building production-grade software applications.
  • Practical experience with Generative AI and Agentic AI technologies.
  • Experience with agentic AI frameworks such as LangChain, LangGraph, or similar technologies.
  • Strong understanding of Large Language Model fundamentals.
  • Knowledge of prompting, tool/function calling, RAG, embeddings, context management, and memory systems.
  • Understanding of modular and reusable software architecture.
  • Knowledge of SDLC and modern software engineering practices.
  • Experience with API design and microservices.
  • Understanding of AI agent evaluation and observability.
  • Knowledge of responsible AI and AI governance concepts.

Job Overview

Cognizant is looking for a Python Gen AI Engineer to develop modern Generative AI and agentic AI solutions. The role combines strong Python software engineering with practical knowledge of LLMs, AI agents, APIs, microservices, RAG, and enterprise AI architectures.

The selected candidate will contribute to scalable and reusable AI solutions designed for real-world enterprise applications. The position also involves software engineering practices such as CI/CD, Git, code reviews, testing, evaluation, observability, and governance.


Key Responsibilities

  • Develop production-grade software using Python.
  • Build and maintain agentic AI systems.
  • Work with frameworks such as LangChain and LangGraph or similar technologies.
  • Implement LLM-powered applications and enterprise AI solutions.
  • Work with prompt engineering and tool/function calling.
  • Develop Retrieval-Augmented Generation (RAG) solutions.
  • Work with embeddings, context management, and memory systems.
  • Design modular and platform-agnostic AI architectures.
  • Avoid tightly coupling solutions to a single LLM vendor or cloud provider.
  • Build and maintain APIs and microservices.
  • Develop extensible and reusable frameworks or SDKs.
  • Apply SDLC practices throughout the development lifecycle.
  • Use CI/CD, version control, code reviews, and software testing practices.
  • Develop systems for AI agent evaluation and performance monitoring.
  • Work with observability and tracing tools such as LangSmith or similar platforms.
  • Implement AI governance and responsible AI practices.
  • Work with guardrails, access controls, auditability, and human oversight.
  • Contribute to scalable enterprise AI applications.

Key Skills Required

  • Python
  • Generative AI
  • Artificial Intelligence
  • Machine Learning
  • Agentic AI
  • LangChain
  • LangGraph
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Tool / Function Calling
  • Retrieval-Augmented Generation (RAG)
  • Embeddings
  • Context Management
  • Memory Systems
  • API Design
  • Microservices
  • Software Development Life Cycle (SDLC)
  • CI/CD
  • Git
  • Code Review
  • Software Testing
  • AI Agent Evaluation
  • AI Observability
  • LangSmith
  • AI Governance
  • Guardrails
  • Access Control
  • Auditability
  • Human Oversight

Generative AI & Agentic AI Skills

  • Generative AI application development.
  • Agentic AI system development.
  • Multi-step AI agent workflows.
  • LLM prompting and prompt engineering.
  • Tool and function calling.
  • Retrieval-Augmented Generation (RAG).
  • Embedding-based information retrieval.
  • Context management.
  • AI memory systems.
  • Agent evaluation and testing.
  • AI tracing and observability.

Software Engineering Skills

  • Strong Python programming.
  • Production-grade application development.
  • API development and integration.
  • Microservices architecture.
  • Modular software design.
  • Reusable framework and SDK development.
  • Git and version control.
  • CI/CD practices.
  • Code reviews.
  • Software testing.
  • SDLC best practices.

AI Governance & Responsible AI

The role also involves applying responsible AI engineering practices to enterprise AI solutions. Candidates should understand concepts such as AI governance, guardrails, access control, auditability, evaluation, observability, and human oversight.

These practices help ensure that AI-powered applications are reliable, secure, observable, and suitable for enterprise environments.


Architecture & Development

Candidates will contribute to modular and scalable AI architectures. Solutions should be designed to remain as platform-agnostic as possible rather than being tightly dependent on one LLM provider or cloud platform.

The role also includes developing reusable frameworks, APIs, SDKs, and microservices that can support multiple AI-powered applications and business use cases.


Work Mode & Location

This is a hybrid full-time position based in Chennai, Tamil Nadu, India.

Candidates should verify the latest work-location and hybrid-working requirements on the official Cognizant careers portal before applying.


Experience Required

The experience requirement is not specified in the provided job information. Candidates with relevant experience in Python development, Generative AI, Agentic AI, LLM applications, software engineering, and AI systems may consider this opportunity, subject to the employer's requirements.


Salary / Package

The salary or compensation package is not disclosed in the provided job information.

Candidates should confirm the applicable compensation details during the recruitment process.


Selection Process

The exact selection rounds are not specified in the provided job information.

Candidates should follow the official Cognizant recruitment process and provide accurate information during the application and selection stages.


Why Apply?

  • Opportunity to work on modern Generative AI solutions.
  • Gain experience with Agentic AI technologies.
  • Work with Python and production-grade software systems.
  • Gain hands-on exposure to LangChain and LangGraph.
  • Work with LLMs, RAG, embeddings, and tool calling.
  • Develop enterprise AI applications.
  • Gain experience with APIs and microservices.
  • Learn AI evaluation and observability practices.
  • Gain exposure to AI governance and responsible AI.
  • Work with modern software development practices.
  • Develop scalable and reusable AI frameworks.
  • Opportunity to work with a global technology services company.

Who Should Apply?

  • Python developers interested in Generative AI.
  • AI and Machine Learning professionals.
  • Generative AI engineers.
  • Agentic AI developers.
  • LLM application developers.
  • Candidates with LangChain or LangGraph experience.
  • Developers experienced in RAG applications.
  • Candidates with API and microservices experience.
  • Software engineers interested in AI engineering.
  • Candidates familiar with AI evaluation and observability.
  • Candidates interested in responsible AI and AI governance.

Important Details

  • Company: Cognizant
  • Position: Python Gen AI Engineer
  • Job ID: 00069794036
  • Location: Chennai, Tamil Nadu, India
  • Work Mode: Hybrid
  • Job Type: Full-Time
  • Category: Technology & Engineering
  • Experience: Not Specified
  • Posted Date: 25 August 2026

How to Apply?

Interested candidates can apply for the Python Gen AI Engineer position through the official Cognizant careers portal.

Candidates should review the latest job requirements and application details before submitting their application.

Apply Here: Cognizant – Python Gen AI Engineer


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Disclaimer

The recruitment details are based on the provided Cognizant job information. Candidates should verify the latest eligibility criteria, experience requirements, work mode, salary, selection process, application status, and other recruitment details through the official Cognizant careers portal before applying.


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Cognizant Hiring 2026 | Python Gen AI Engineer | Chennai | Hybrid | Apply Now

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Cognizant Hiring 2026 for Python Gen AI Engineer in Chennai. Candidates with Python, Generative AI, Agentic AI, LangChain, LangGraph, LLM, RAG and API skills can apply.

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