> Markdown version of [/jobs/ext/598912-telecommute-sr-lead-ai-java-engineer](https://www.wearedevelopers.com/jobs/ext/598912-telecommute-sr-lead-ai-java-engineer). 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). --- # TELECOMMUTE Sr// Lead AI Java Engineer - **Company:** Pyramid Technology Solutions - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Continuous Integration, Software Debugging, Distributed Systems, Github, Gradle, Apache Maven, Software Engineering, Scripting, Spring-boot, Reliability of Systems, Kotlin, Codebase, Golang, Microservices - **Published:** June 22, 2026 - **Apply:** https://www.dice.com/job-detail/19a0a454-75ce-4b83-9266-1b4458d3da6d ## About the Role * Strong experience working with enterprise-scale distributed systems * Proficiency in: * Java (Kotlin is a plus) * Spring Boot * microservices architectures * Proven ability to take a system from: clone * build * debug * modify * test * integrate into CI pipeline independently * Hands-on experience with: * CI/CD pipelines (e.g., GitHub Actions or similar) * build tooling (Gradle/Maven) * environment and dependency management * Strong debugging and root cause analysis skills across: * build failures * dependency conflicts * runtime issues * Practical experience using AI tools in software development workflows * Ability to work effectively in: * high-pressure environments * high ambiguity with minimal guidance * Strong communication and collaboration skills AI & Tooling Fluency (Critical for Success): * Experience beyond basic autocomplete usage of AI tools, including: * structured prompt writing * multi-step AI-assisted workflows * iterating on generated outputs * Ability to: * validate correctness of AI-generated code * identify gaps or incorrect assumptions * refine outputs to production-quality level * Understanding of when AI can accelerate development vs when manual engineering is required Nice to have: * Experience with agent-based or agent orchestration tools (e.g., Claude Code, LangGraph, similar) * Familiarity with advanced developer environments (e.g., tmux, Warp, scripting workflows) * Experience with Go (Golang) What This Role Is: * Forward Deployed Engineering / SWAT problem-solving * AI-assisted, toolchain-heavy, full-stack delivery mindset * High autonomy, high impact engineering role ## Description Our client, a leading financial services enterprise, is building a SWAT-style Forward Deployed Engineering (FDE) team to address critical technical challenges across Enterprise Platforms and to pioneer AI-assisted software delivery at scale. This role is not a traditional backend engineering position. We are seeking hands-on engineers who can rapidly onboard onto unfamiliar systems, deliver end-to-end solutions, and leverage modern AI tooling to accelerate development workflows. Engineers in this team will act as high-impact problem solvers, moving across teams to resolve production issues, implement new functionality, and improve system reliability - often under time pressure and in highly ambiguous environments. Responsibilities: * Rapidly onboard onto unfamiliar codebases, build and run applications locally, and deliver working solutions within tight timelines * Diagnose and resolve complex production issues across multiple platform teams * Own end-to-end delivery of features, including: * implementation * testing (integration-level) * CI/CD pipeline integration * Work across distributed systems and enterprise-scale microservices architectures * Use AI tools (e.g., Copilot, Claude Code or similar) to: * generate and iterate on code * create and refine test cases * accelerate debugging and development workflows * Critically evaluate AI-generated output and correct gaps, assumptions, or inaccuracies * Configure, troubleshoot, and improve build pipelines (Gradle/Maven, CI workflows) * Collaborate with platform teams to resolve incidents and prevent recurrence * (Lead role) Coordinate SWAT engagements and drive cross-team resolution efforts ## Related Videos - [Building the Future of Java: AI Agents, MCP, and Next-Gen App Development](https://www.wearedevelopers.com/videos/100113-building-the-future-of-java-ai-agents-mcp-and-next-gen-app-development) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Modular Secrets to Lightning-Fast Android Builds](https://www.wearedevelopers.com/videos/1428-modular-secrets-to-lightning-fast-android-builds) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Moving from Java to Kotlin](https://www.wearedevelopers.com/videos/384-moving-from-java-to-kotlin) - [Introducing Kotlin Multiplatform in an existing project](https://www.wearedevelopers.com/videos/276-introducing-kotlin-multiplatform-in-an-existing-project) ## 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) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)