Cognizant’s AI Builder practice builds production-grade AI solutions that deliver measurable business outcomes while integrating AI responsibly into mission-critical systems. This Python Gen AI Engineer role is for fresh talent with a strong Python foundation and a passion for generative AI, focused on building scalable AI agents across multiple cloud platforms and LLM providers.

• Design and develop production-grade Python libraries and SDKs for autonomous AI agents
• Implement and fine-tune LLM pipelines, including prompting, tool/function calling, and RAG
• Create platform-agnostic architectures that can switch between OpenAI, Anthropic, or local LLM deployments
• Integrate AI agents with micro-service ecosystems via RESTful APIs and event-driven patterns
• Build CI/CD pipelines, automated testing suites, and version-control workflows
• Develop observability and evaluation frameworks using LangSmith, tracing libraries, and custom evaluation harnesses
• Establish governance mechanisms such as access control, audit logs, and human-in-the-loop safeguards
• Participate in code reviews, knowledge-sharing sessions, and mentorship programs
• Contribute to documentation, best-practice guides, and internal knowledge bases
• Stay updated with research in generative AI, agentic frameworks, and emerging LLM capabilities

• 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 such as Pinecone or Weaviate and embedding models is a plus

• 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