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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Blue Ribbon Global Technologies - **Location:** Jersey City, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Automation of Tests, Microsoft Azure, Static Program Analysis, Continuous Integration, Github, Spring Framework, Python (Programming Language), Node.Js, Object-Oriented Software Development, Regression Testing, Reverse Engineering, Selenium, SonarQube, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Indexer, AI Coding Agents, Agentic-AI, Playwright, Restful APIs, Jenkins - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/2fe59abd-07a7-47b4-97e9-8599b12db3f3 ## About the Role Experience: 6-10 years in software and solution engineering, 2-3 years in AI engineering, Spec-driven development: working knowledge of GitHub SpecKit or similar frameworks. - AI/LLMs: hands-on experience with LLMs and AI coding assistants, including prompt design, structured outputs, context handling, and guardrails. - Primary coding language: Python. - Code comprehension: ability to read and reason about code in Java/Spring, .NET, NodeJS, or Python, including REST APIs and data models. - Code analysis: experience with static analysis or code parsing (AST parsing, call graphs, control flow graphs) or tools such as Tree-sitter, CodeQL, SonarQube. - GitHub: experience with GitHub workflows and Actions. - Communication: strong ability to explain technical decisions to engineers and business stakeholders. Professional Skills - Strong analytical and problem-solving capabilities. - Excellent customer-facing communication and consulting skills. - Ability to work independently in fast-paced environments. - Collaborative mindset across cross-functional and distributed teams. - Ownership-driven approach focused on measurable business outcomes. Good to Have - Experience with agentic workflows or MCP-based tooling. - Knowledge of RAG or code-indexing for large repositories. - Experience with legacy modernization or reverse-engineering undocumented systems. - Familiarity with Azure DevOps, Jenkins, or similar CI/CD platforms. - Exposure to financial services or payments applications. - Experience with test management tools (Jira, Xray, Azure Test Plans). - Experience migrating legacy automation (Selenium, UFT) to Playwright. ## Description Implementation is seeking a driven Forward Deployed Engineer (FDE) who can bridge business needs with technology solutions through AI-assisted engineering, automation, and modern software delivery practices. In this role, you will partner directly with customers to translate business requirements into scalable, well-engineered solutions. By applying AI-native engineering, Spec-driven design, and automation frameworks, you will accelerate delivery while maintaining enterprise-grade quality and governance. The ideal candidate will design and deploy solutions using AIDLC (spec-driven) development. Key Responsibilities - Collaborate with customers and stakeholders to understand business goals, strategies, and pain points. - Design technology solutions, AI/Agent workflows, integrations, and data/security requirements. - Build AI agents, copilots, applications, APIs, and services integrated with enterprise systems (RAG, orchestration). - Generate and validate AI-produced code and engineering artifacts; drive deployment of enterprise-grade applications. - Apply prompt and context engineering to enhance automation outcomes. - Implement SDD framework (GitHub SpecKit) to improve or extend application functionalities. - Develop code analysis capabilities to scan application codebases (UI, routes, controllers, APIs, data models). - Extract user flows, functional rules, boundary conditions, and error paths using the SDD framework. - Convert extracted insights into structured, reviewable specs using the SpecKit workflow (construction, specify, plan, task, implement). - Manage large or legacy codebases through chunking, indexing, dependency mapping, and context management. - Review and validate AI-generated test designs, test cases, Playwright automation scripts, and quality assets. - Generate functional, negative, boundary, and regression test cases from specs and code-derived patterns. - Design and maintain test automation scripts using Page Object Model, reusable fixtures, and AI-run templates. - Apply prompt engineering and guardrails to ensure generated scripts follow client standards (Playwright, Selenium). - Validate generated scripts by executing and feeding back failures for improvement. - Integrate workflows into GitHub Actions or client CI/CD pipelines for scan, spec generation, test generation, execution, and reporting. - Work embedded with client teams to assess applications, documentation, and automation maturity. - Conduct pilots, demos, and enablement sessions; document usage and extension guidelines. - Support client QA and developers in reviewing and approving AI-generated outputs with human oversight. - Gather feedback, prioritize improvements, and escalate risks proactively.