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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Developer - **Company:** Computer Enterprises Inc - **Location:** West Chester, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $176,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Software Debugging, Decision Support Systems, Python (Programming Language), Search Technologies, Software Engineering, Systems Integration, Web Application Frameworks, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Troubleshooting, Generative AI, Backend, Git, Fastapi, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Api Design, Restful APIs, GPT, Docker, Microservices - **Published:** September 25, 2026 - **Apply:** https://www.dice.com/job-detail/52fbe0aa-2f8f-4b73-a240-5567c77a79bc ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field. * 5+ years of software development experience with strong proficiency in Python. * Experience building and deploying Generative AI, LLM, or Agentic AI solutions in production environments. * Experience developing RAG architectures and integrating vector databases. * Strong understanding of prompt engineering, embeddings, semantic search, and LLM evaluation techniques. * Experience building APIs and microservices using Python frameworks such as FastAPI. * Experience with cloud platforms such as AWS, Azure, or GCP. * Experience with containerization and deployment technologies including Docker and Kubernetes. * Strong troubleshooting, debugging, and problem-solving skills., * Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar agent orchestration frameworks. * Experience integrating AI agents with enterprise systems, databases, APIs, and workflow platforms. * Familiarity with OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, or other enterprise LLM platforms. * Experience with MLOps, LLMOps, and AI governance practices. * Experience developing multi-agent systems and autonomous workflow solutions. * Exposure to Go or other backend programming languages. Technical Environment * Python * FastAPI * LangChain / LangGraph * OpenAI, Claude, Azure OpenAI, Amazon Bedrock * Retrieval-Augmented Generation (RAG) * Vector Databases * Docker & Kubernetes * AWS / Azure / GCP * REST APIs & Microservices * Git, CI/CD Pipelines * LLMOps & Monitoring Frameworks ## Description We are seeking a Senior Agentic AI Developer to design, build, and deploy enterprise-grade AI agents and intelligent automation solutions. This role will focus on developing agentic AI applications, Retrieval-Augmented Generation (RAG) systems, LLM-powered workflows, and scalable AI platforms using Python and modern AI frameworks. The ideal candidate has hands-on experience building production AI systems, integrating Large Language Models (LLMs), orchestrating multi-agent workflows, and deploying cloud-native applications that support real-world business processes. Responsibilities * Design, develop, and deploy agentic AI applications using modern LLM frameworks and orchestration platforms. * Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data sources, vector databases, and semantic search technologies. * Develop AI agents capable of tool calling, workflow automation, reasoning, and decision support. * Create scalable APIs and backend services to support AI-enabled products and applications. * Design and implement document ingestion, knowledge retrieval, embedding generation, and context management pipelines. * Collaborate with product, engineering, and business teams to identify and deliver AI-driven solutions. * Evaluate, test, and optimize LLM performance, response quality, latency, and reliability. * Implement monitoring, observability, security, and governance controls for enterprise AI systems. * Participate in architecture discussions, proof-of-concept development, and technical design reviews. * Create and maintain technical documentation, implementation plans, and best practices for AI development. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)