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