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# Java Full Stack Cloud Developer

- **Company:** Tandym Tech
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Cloud Computing, Code Generation, Profiling, Continuous Integration, Data Security, Software Debugging, DevOps, Cloud Services, Elearning, Software Engineering, Test-Driven Development (TDD), Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Concurrency, Model Validation, Generative AI, AI Coding Agents, Agentic-AI, Information Technology, AutoGen, Semantic Kernel, Human in the Loop
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/1bb1e01d-9021-4c24-a909-ed0bde95f057

## About the Role

6+ years of relevant experience in an Agile environment
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Bachelor's degree in computer science or a related discipline, or equivalent education and experience
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Hands-on experience with software engineering, TDD, CI/CD, and Agile methodologies
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Experience using generative AI and AI coding assistants in software development or DevOps workflows
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Practical experience building or supporting AI agents and tool-enabled LLM workflows
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Understanding of responsible AI, secure data handling, AI-generated code risks, agent orchestration, tool calling, structured outputs, context management, and human-in-the-loop controls
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Experience testing nondeterministic systems and diagnosing agent failures

Desired Skills:
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Experience developing labs and learning content for AI-assisted software engineering
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Familiarity with RAG, embeddings, vector databases, grounding, LLM APIs, model evaluation, and AI governance
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Experience integrating AI and agents with applications, APIs, CI/CD pipelines, cloud services, observability platforms, and enterprise knowledge sources
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Experience with agent frameworks such as Semantic Kernel, AutoGen, LangGraph, or equivalent
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Familiarity with MCP, agent-to-agent communication, and multi-agent orchestration
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Knowledge of agent security, including prompt-injection defenses, permission boundaries, data-loss prevention, sandboxing, and audit trails
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Experience with concurrency, debugging, performance profiling, and optimization

## Description

Deliver instructor-led, hands-on training in software engineering, Agile, DevOps, cloud, CI/CD, testing, system design, and AI-assisted development
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Translate complex technical concepts into clear, practical instruction for learners at varying skill levels
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Teach responsible AI practices, including privacy, security, bias awareness, output validation, and human oversight
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Develop and maintain curricula, labs, code samples, assessments, diagrams, and digital learning content
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Facilitate coding exercises, demonstrations, simulations, and collaborative problem-solving