> Markdown version of [/jobs/ext/4636343-java-developer](https://www.wearedevelopers.com/jobs/ext/4636343-java-developer). 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). --- # Java Developer - **Company:** Robotics Technologies LLC - **Location:** Denver, CO, United States - **Experience:** Experienced - **Salary:** $160,160 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Language Modeling, Software Engineering, Software Systems, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Api Design - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=096e03b75c166f06 ## About the Role * 2+ years of software development experience. * Strong programming experience in Java and/or Python. * Experience working with AI, Machine Learning, or Generative AI technologies. * Understanding of Large Language Models (LLMs) and AI application development. * Experience building APIs, services, or software solutions. * Strong problem-solving and analytical skills. * Ability to work independently and rapidly learn new technologies., * Experience with Machine Learning model development or implementation. * Hands-on experience with RAG architectures. * Experience with agentic AI workflows and AI agents. * Familiarity with MCP frameworks. * Exposure to Small Language Models (SLMs). * Cloud platform experience (AWS, Azure, or GCP). * Experience building proofs of concept and emerging technology solutions. ## Description * Evaluate and leverage existing internal AI tools, agents, and platforms. * Build AI-enabled applications, prototypes, and proofs of concept. * Develop solutions utilizing LLMs, SLMs, MCPs, and agent-based architectures. * Partner with engineering and infrastructure teams to identify high-value AI use cases. * Assess opportunities to automate workflows and improve operational efficiency through AI. * Research, test, and validate emerging AI technologies and capabilities. * Contribute to AI adoption initiatives across multiple teams. * Help integrate AI solutions into existing applications and services. * Participate in technical discussions, solution design, and implementation activities.