Python Gen AI Engineer

Cognizant's interview process typically starts with a timed online aptitude test covering quantitative, logical, and verbal reasoning. Successful candidates move to a technical interview that focuses on Python coding, data structures, algorithms, and AI concepts such as prompting and RAG. The final HR round assesses cultural fit, communication skills, and motivation. Preparation should include mock tests, coding practice, and a solid grasp of generative AI fundamentals.

Cognant's work culture emphasizes continuous learning, collaborative problem‑solving, and a strong focus on employee wellbeing. Employees enjoy flexible hybrid arrangements, regular upskilling programs, and clear career progression pathways, making it a supportive environment for fresh talent.

Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, or related engineering discipline. Minimum aggregate 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Fresh graduates from the 2025, 2026 or 2027 batch are encouraged to apply. Strong programming fundamentals and a passion for AI/ML are essential.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (coding, AI concepts, system design) → Round 3: HR interview (fit, motivation, compensation discussion)

Cognizant is a global leader in digital, technology, consulting and operations services. With a presence in over 40 countries, the company helps enterprises across industries accelerate their digital transformation journeys. Cognizant’s AI Builder practice focuses on delivering end‑to‑end, production‑grade AI solutions that blend deep domain expertise with cutting‑edge technology. The firm’s AI portfolio spans large language models, computer vision, predictive analytics, and intelligent automation, enabling clients to unlock new value streams and improve operational efficiency. As part of its commitment to innovation, Cognizant invests heavily in building reusable AI platforms that can be customized for diverse business contexts, ensuring scalability, security, and governance. The Python Gen AI Engineer role is a core technical position within Cognizant’s AI Builder team. The incumbent will design, develop, and maintain modular AI agent frameworks that are vendor‑agnostic and cloud‑agnostic, allowing seamless integration with multiple large language model providers. Working closely with solution architects, product managers, and data scientists, the engineer will translate business requirements into robust, production‑ready code, while embedding best‑in‑class software development lifecycle (SDLC) practices. This role offers exposure to the latest generative AI technologies and the chance to influence how enterprises adopt AI at scale. Key Responsibilities: 1. Build and ship production‑grade Python services that orchestrate LLM‑driven agents using frameworks such as LangChain or LangGraph. 2. Design platform‑agnostic architectures that abstract away vendor‑specific APIs, enabling flexible model selection. 3. Implement robust prompting strategies, tool/function calling, Retrieval‑Augmented Generation (RAG), and embedding pipelines. 4. Develop reusable SDKs and micro‑services for internal and client‑facing AI solutions. 5. Integrate CI/CD pipelines, automated testing, and code‑review workflows to ensure high code quality. 6. Create observability and evaluation tooling (e.g., LangSmith, custom tracing) to monitor agent performance and reliability. 7. Enforce AI governance policies, including guardrails, access control, audit logs, and human‑in‑the‑loop mechanisms. 8. Collaborate with cross‑functional teams to define product roadmaps and prioritize feature development. 9. Mentor junior developers and contribute to knowledge‑sharing sessions on generative AI best practices. 10. Stay current with emerging AI research, open‑source libraries, and industry standards. Tech Stack: Python, LangChain/LangGraph, FastAPI, Docker, Kubernetes, Git, Jenkins/GitHub Actions, PostgreSQL/NoSQL, AWS/GCP/Azure, LangSmith, OpenAI/Anthropic/Mistral APIs, Redis, Prometheus/Grafana. Growth Path: Starting as an Engineer, you can progress to Senior Engineer, Lead Engineer, AI Solution Architect, or AI Platform Manager, with opportunities to lead large‑scale AI programs for Fortune‑500 clients. Why Join Cognizant? You will work on real‑world, high‑impact AI projects for global brands, gain exposure to a diverse technology stack, and benefit from a structured learning ecosystem that includes certifications, mentorship, and internal mobility. The hybrid work model offers flexibility while fostering collaboration, and the company’s strong emphasis on employee wellbeing ensures a balanced professional life.