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# Agentic AI Developer/ Architect

- **Company:** CONNECTTEL INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Applications Architecture, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Spring Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Agentic-AI, Kubernetes, CrewAI, AutoGen, Machine Learning Operations, Virtual Agents, Restful APIs, Semantic Kernel, Devsecops, Microservices
- **Published:** October 4, 2026
- **Apply:** https://www.dice.com/job-detail/66c61032-960c-4ec9-b445-f58ab5d4f8ce

## About the Role

8+ years of application architecture and enterprise software development.
Strong Java development experience with Spring Boot, Microservices, REST APIs, and Java 11/17+.
Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, prompt engineering, AI agents, and vector databases.
Experience with AI orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI.
Strong cloud experience with AWS, Azure, or Google Cloud Platform.
Knowledge of Python is a plus.
Experience with MLOps, CI/CD, Kubernetes, and enterprise security is preferred.
Bonus Points
Experience in gaming, media, or interactive entertainment industries.
Familiarity with DevSecOps and CI/CD pipelines for AI-driven applications.
Experience integrating GenAI solutions into employee- or player-facing platforms.

## Description

We are seeking an experienced AI Architect with expertise in Generative AI, Agentic AI, and Java development to design and implement scalable, secure, AI-driven enterprise applications. The ideal candidate will have strong experience building Java-based microservices while integrating LLMs, RAG pipelines, vector databases, and Agentic AI solutions into cloud-native applications.
Responsibilities
Design scalable AI-enabled enterprise applications and architecture.
Develop and architect Java (Spring Boot) microservices and REST APIs.
Design and implement Agentic AI solutions using AI orchestration frameworks.
Integrate LLMs, RAG, vector databases, and AI agents into enterprise applications.
Collaborate with engineering, product, and data teams to deliver AI solutions.
Define architecture standards, security, and best practices.
Evaluate emerging AI technologies and mentor development teams.