> Markdown version of [/jobs/ext/2721314-ai-engineer-java](https://www.wearedevelopers.com/jobs/ext/2721314-ai-engineer-java). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer (Java) - **Company:** ITTCONNECT INC - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Testing (Software), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Interactive Voice Response, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Integration, Data Validation, DevOps, Java Web Services, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Natural Language Processing, Performance Tuning, Standard Sql, Search Technologies, SQL Databases, Systems Integration, Management of Software Versions, Workflow Management Systems, Core Voice Platform, Google Cloud, Java Application Server, Enterprise Software Applications, Chatbots, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Apache Kafka, Machine Learning Operations, Virtual Agents, Restful APIs, Document Classification, Docker, Microservices - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/13d417bf-e591-4078-8398-61fb5369714f ## About the Role We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems., * 10+ years of total technology or software-engineering experience. * Strong hands-on backend development experience using Java. * Strong experience with Spring Boot, REST APIs, and microservices. * Experience with Kafka or comparable event-driven messaging technologies. * Practical experience implementing or integrating AI/ML capabilities in production applications. * Experience with NLP use cases such as text classification or clustering. * Experience integrating machine learning models, NLP services, or LLM-based capabilities with enterprise applications. * Hands-on experience with LLM concepts and solutions, including: + Prompt engineering + LLM evaluation + Retrieval-Augmented Generation * Strong SQL and relational-database experience. * Experience with software testing, CI/CD, security, monitoring, and production support. * Strong communication and cross-functional collaboration skills., * Experience with agentic AI or multi-agent orchestration. * Experience with LLMOps or MLOps in production environments. * Cloud experience with AWS, Azure, or Google Cloud Platform. * Experience with Docker and Kubernetes. * Experience integrating Java services with Python-based AI/ML components. * Experience with vector databases and semantic search. * Familiarity with voice AI, IVR, conversational AI, intent detection, or call-routing systems. Voice and IVR experience are preferred but not required. * Experience mentoring distributed, offshore, or junior engineering teams. ## Description * Design and develop scalable backend applications and services using Java and Spring Boot. * Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture. * Integrate NLP, machine learning, and LLM capabilities into Java-based enterprise applications. * Build or integrate NLP solutions for text classification, clustering, intent detection, and related use cases. * Perform data analysis and data validation using SQL. * Design and deploy LLM workflows involving prompt engineering, evaluation, and Retrieval-Augmented Generation (RAG). * Develop integrations between Java applications and Python-based AI/ML or model-serving services when appropriate. * Contribute to agentic AI workflows supporting multistep interactions, tool execution, validation, and workflow orchestration. * Apply production engineering practices covering scalability, resiliency, security, testing, monitoring, and performance optimization. * Contribute to LLMOps and MLOps practices, including evaluation, monitoring, versioning, deployment, and lifecycle management. * Collaborate with AI/ML, product, platform, data, and DevOps teams. * Participate in architecture reviews, code reviews, technical planning, and production support. * Mentor junior and offshore engineers and promote engineering best practices. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Hello JARVIS - Building Voice Interfaces for Your LLMS](https://www.wearedevelopers.com/videos/1641-hello-jarvis-building-voice-interfaces-for-your-llms) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)