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
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Design, develop, and maintain scalable Python applications and backend services.

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Develop Agentic AI solutions involving autonomous agents, intelligent workflows, and multi-agent systems.

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Integrate Large Language Models (LLMs) into applications and business processes.

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Build AI agent workflows involving tool calling, function calling, and external API integrations.

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Design and implement RESTful APIs and backend services using Python.

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Explore and implement Retrieval-Augmented Generation (RAG) solutions where applicable.

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Collaborate with engineering teams to develop and improve AI-driven applications.

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Support the integration, testing, deployment, and optimization of AI applications.

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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
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Strong hands-on experience in Python programming and software development.

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Practical experience developing Agentic AI applications, AI agents, or autonomous AI workflows.

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Experience integrating Large Language Models (LLMs) and Generative AI capabilities into applications.

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Understanding of AI agent orchestration, multi-agent systems, and tool/function calling.

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Experience designing and integrating APIs and Python-based backend services.

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Ability to develop maintainable, scalable, and reliable software solutions.

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Strong problem-solving skills and the ability to collaborate with technical teams.

Preferred Technical Skills
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Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.

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Familiarity with FastAPI, Flask, and REST APIs.

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Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.

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Experience with OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or Google Vertex AI.

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Familiarity with Docker, Kubernetes, and cloud deployment environments.

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Experience building, deploying, or maintaining AI applications in production.

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Understanding of LLM evaluation, prompt engineering, and AI application testing.

Originally posted on Himalayas