Cognizant is a global technology services provider focused on helping organizations use technology and artificial intelligence to create business value. The company describes itself as an AI Builder, combining industry knowledge, engineering expertise, and technology to develop solutions for enterprise customers.
Cognizant is currently hiring for a Python Gen AI Engineer position in Chennai, India. The role sits within the Technology & Engineering category and follows a hybrid work model. The position is particularly relevant for professionals with experience in Python, generative AI, LLMs, agentic AI frameworks, APIs, and modern software engineering practices.
Cognizant Python Gen AI Engineer Job Overview
| Job Detail | Information |
|---|---|
| Company | Cognizant |
| Job Title | Python Gen AI Engineer |
| Job ID | 00069794036 |
| Location | Chennai, India |
| Work Model | Hybrid |
| Job Category | Technology & Engineering |
| Date Published | August 25, 2026 |
| Primary Skill | Python |
| AI Focus | Generative AI, LLMs & Agentic AI |
About the Python Gen AI Engineer Role
The Python Gen AI Engineer role is focused on developing production-ready software and AI solutions rather than working only with experimental notebooks or prototypes.
Candidates should be comfortable building applications with Python and working with modern agentic AI frameworks such as LangChain and LangGraph. The role also requires an understanding of how large language models work, including prompting, tool or function calling, retrieval-augmented generation (RAG), embeddings, context management, and memory systems.
The position also involves designing architectures that are not tightly dependent on one particular LLM provider or cloud platform. This makes knowledge of reusable software architecture, APIs, microservices, and extensible frameworks valuable for the role.
Key Skills and Requirements
Candidates interested in this opportunity should have strong knowledge of the following areas:
Python Development
- Strong proficiency in Python.
- Hands-on experience building production-grade software.
- Ability to develop reliable and maintainable applications.
Generative AI and LLMs
- Understanding of LLM fundamentals.
- Prompt engineering.
- Tool and function calling.
- Retrieval-Augmented Generation (RAG).
- Embeddings.
- Context management.
- Memory systems.
Agentic AI
- Practical experience with agentic AI frameworks.
- Experience with tools such as LangChain or LangGraph.
- Understanding of AI-agent-based application development.
Software Engineering
- API design.
- Microservices.
- Reusable and extensible frameworks or SDKs.
- Version control.
- Code reviews.
- Software testing.
- CI/CD and SDLC practices.
AI Evaluation and Governance
- Familiarity with agent evaluation and observability tools.
- Knowledge of tracing frameworks or custom evaluation systems.
- Understanding of AI governance.
- Awareness of guardrails, access control, auditability, and human oversight.
Who Can Apply?
This position is best suited for candidates who already have practical experience in Python development and generative AI technologies. The source job posting specifically emphasizes production-grade Python development and hands-on experience with agentic frameworks.
Candidates with experience in LangChain, LangGraph, LLM applications, RAG, API development, microservices, AI evaluation, and governance may find this opportunity particularly relevant.
The available job information does not specify a particular educational qualification or number of years of experience, so applicants should evaluate their profile against the technical requirements listed in the official posting rather than assuming a specific experience cutoff.
Why Consider a Career at Cognizant?
Cognizant highlights opportunities to work with new technologies, industries, and locations while developing skills for career growth. Its careers information also highlights areas such as financial wellbeing, physical and mental health support, flexible working where possible, and professional development.
The company also states that employees can work on solutions designed to create real-world impact for major organizations and their customers.
Cognizant Hiring Process
According to Cognizant’s careers information, the hiring process can vary depending on the role and location. The general process includes:
- Apply to the right opportunity
Candidates submit an application for a position that matches their skills and career goals. - Connect with a recruiter
If the profile is considered a potential match, a recruiter may arrange an introductory conversation. - Show your skills
Candidates may interview with the hiring team. Depending on the position, technical assessments or client interviews may also be part of the process. - Final decision
The hiring team reviews the candidate’s potential fit for the role before making a decision.
Important Details Before Applying
- Job: Python Gen AI Engineer
- Location: Chennai, India
- Work Model: Hybrid
- Job ID: 00069794036
- Published: August 25, 2026
- Category: Technology & Engineering
- Key Technologies: Python, LangChain, LangGraph, LLMs, RAG, APIs, Microservices
- Focus Areas: Generative AI, Agentic AI, AI Evaluation, AI Governance
Cognizant also notes that candidates may be required to participate in interviews either in person or through video conferencing.
Final Note
If your background combines Python software development with Generative AI and agentic AI technologies, this Cognizant opening could be a strong opportunity to work on enterprise-focused AI solutions. Review the requirements carefully and make sure your resume clearly highlights relevant projects, frameworks, APIs, and production experience.
Apply Now
Official Cognizant job posting:
Job information above is based on the Cognizant careers posting available for this position. Requirements, hiring status, and other details may change, so candidates should verify the information on the official career page before applying.