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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer Agentic AI - **Company:** Stellent IT LLC - **Location:** Columbus, OH, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Software, Cloud Computing, Databases, Continuous Integration, DevOps, Distributed Systems, Monitoring of Systems, Python (Programming Language), Performance Tuning, Prometheus, Software Engineering, Systems Integration, Enterprise Software Applications, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Git, Kubernetes, Virtual Agents, Restful APIs, Splunk, Docker, Microservices - **Published:** August 8, 2026 - **Apply:** https://www.dice.com/job-detail/616177a3-4917-42b7-9965-c835cccd5613 ## About the Role This role requires experience in designing intelligent multi-agent systems, integrating enterprise tools, and deploying AI-powered solutions into production environments. Required Skills (Must Have) * 8+ years of software development experience with Python or Java. * Hands-on experience building and deploying Agentic AI applications in enterprise environments. * Strong experience with: + Python + Java + LangGraph + vLLM * Experience designing and orchestrating multi-agent workflows and autonomous AI systems. * Hands-on experience integrating LLMs with enterprise applications using APIs and external tools. * Strong understanding of Retrieval-Augmented Generation (RAG) concepts and retrieval pipelines. * Experience with REST APIs, microservices architecture, and distributed systems. * Strong knowledge of prompt engineering, agent orchestration, and tool calling. * Experience monitoring, troubleshooting, and optimizing AI applications in production. * Understanding of responsible AI, model governance, security, and enterprise AI best practices. * Experience working in Agile development environments. Preferred Skills * Experience with vector databases such as Pinecone, pgVector, FAISS, or OpenSearch. * Experience with LLM platforms such as OpenAI, Anthropic Claude, or AWS Bedrock. * Knowledge of Kubernetes, Docker, and cloud platforms (AWS preferred). * Experience with CI/CD pipelines, Git, and DevOps practices. * Familiarity with observability and monitoring tools such as Grafana, Splunk, or Prometheus., * 8+ years of software engineering experience. * 2+ years of hands-on experience building production-grade Agentic AI or LLM-based applications. * Strong experience with Python, Java, LangGraph, and vLLM. * Experience deploying AI solutions into production environments. * Excellent problem-solving and communication skills. ## Description Client is seeking an experienced Software Engineer Agentic AI to design, develop, and deploy enterprise-grade AI applications powered by autonomous agents and Large Language Models (LLMs). The ideal candidate will have strong software engineering fundamentals with hands-on experience building Agentic AI solutions using modern AI frameworks while developing scalable applications in Python and Java., * Design, develop, and deploy enterprise-grade Agentic AI solutions. * Build intelligent multi-agent workflows using LangGraph. * Develop scalable AI services using Python or Java. * Integrate LLMs with enterprise APIs, databases, and business applications. * Optimize inference performance using vLLM and modern serving frameworks. * Implement RAG pipelines and AI orchestration workflows. * Collaborate with cross-functional engineering and product teams to deliver AI-powered capabilities. * Ensure production readiness through monitoring, testing, security, and performance optimization. * Follow enterprise engineering standards and AI governance practices. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) ## 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) - [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) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)