About
## About the Role Cognizant is a global leader in digital, technology, consulting, and operations services, with a presence in over 40 countries. We help enterprises across industries transform their business models by leveraging cutting‑edge technologies such as artificial intelligence, cloud, and analytics. Our AI Builder practice focuses on delivering end‑to‑end, production‑grade AI solutions that drive measurable business outcomes, while integrating AI responsibly into mission‑critical systems. We emphasize continuous learning, diversity, and a collaborative environment where engineers can experiment with emerging tools while adhering to robust governance standards. The **Python Gen AI Engineer** role is designed for fresh talent with a solid foundation in Python programming and a passion for generative AI. As part of the AI Builder team, you will work on building scalable AI agents that can be deployed across multiple cloud platforms and LLM providers. ## Key Responsibilities - Design and develop production‑grade Python libraries and SDKs for building autonomous AI agents. - Implement and fine‑tune large language model (LLM) pipelines, including prompting strategies, tool/function calling, and retrieval‑augmented generation (RAG). - Create platform‑agnostic architectures that can switch between vendors such as OpenAI, Anthropic, or local LLM deployments. - Integrate AI agents with existing micro‑service ecosystems via RESTful APIs and event‑driven patterns. - Build CI/CD pipelines, automated testing suites, and version‑control workflows to ensure reliable releases. - Develop observability and evaluation frameworks using tools like LangSmith, tracing libraries, and custom evaluation harnesses. - Establish governance mechanisms—access control, audit logs, and human‑in‑the‑loop safeguards—to meet compliance requirements. - Participate in code reviews, knowledge‑sharing sessions, and mentorship programs for junior developers. - Contribute to documentation, best‑practice guides, and internal knowledge bases. - Stay updated with the latest research in generative AI, agentic frameworks, and emerging LLM capabilities. ## Requirements - Strong foundation in Python programming (3.9+). - Familiarity with LangChain/LangGraph, FastAPI, Docker, Kubernetes, Git, Jenkins/GitHub Actions, and cloud services (AWS, Azure, GCP). - Knowledge of vector databases (e.g., Pinecone, Weaviate) and embedding models is a plus. ## Benefits - Opportunities for growth into senior AI engineer, AI architect, or AI product manager roles. - Participation in leading cross‑functional AI initiatives for Fortune‑500 clients. - Access to world‑class training platforms and sponsored certifications. - A vibrant community that encourages innovation while maintaining a healthy work‑life balance.
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