Agentic AI / Python Engineer

This is a remote position. Job Overview We are seeking an experienced Agentic AI / Python Engineer for an opportunity with Cognizant. The role focuses on developing Python-based applications and intelligent AI solutions, with particular emphasis on Agentic AI, autonomous agents, and Large Language Model (LLM) integration. The ideal candidate will have strong hands-on Python development experience and practical exposure to designing, implementing, and integrating AI-powered workflows and applications. Key Responsibilities • Design, develop, and maintain scalable Python applications and backend services. • Develop Agentic AI solutions involving autonomous agents, intelligent workflows, and multi-agent systems. • Integrate Large Language Models (LLMs) into applications and business processes. • Build AI agent workflows involving tool calling, function calling, and external API integrations. • Design and implement RESTful APIs and backend services using Python. • Explore and implement Retrieval-Augmented Generation (RAG) solutions where applicable. • Collaborate with engineering teams to develop and improve AI-driven applications. • Support the integration, testing, deployment, and optimization of AI applications. • Contribute to the development of reliable, maintainable, and production-ready AI solutions. Note: This is a preliminary job description prepared for recruitment purposes. Final responsibilities and engagement details are subject to client confirmation. Requirements Core Requirements • Strong hands-on experience in Python programming and software development. • Practical experience developing Agentic AI applications, AI agents, or autonomous AI workflows. • Experience integrating Large Language Models (LLMs) and Generative AI capabilities into applications. • Understanding of AI agent orchestration, multi-agent systems, and tool/function calling. • Experience designing and integrating APIs and Python-based backend services. • Ability to develop maintainable, scalable, and reliable software solutions. • Strong problem-solving skills and the ability to collaborate with technical teams. Preferred Technical Skills • Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. • Familiarity with FastAPI, Flask, and REST APIs. • Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search. • Experience with OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or Google Vertex AI. • Familiarity with Docker, Kubernetes, and cloud deployment environments. • Experience building, deploying, or maintaining AI applications in production. • Understanding of LLM evaluation, prompt engineering, and AI application testing. Originally posted on Himalayas