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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack Software Engineer (Generative AI) - **Company:** Unisoft Technology Inc - **Location:** Washington, DC, United States - **Contract:** Contract - **Skills:** Adobe Analytics, JavaScript (Programming Language), Web Accessibility, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Code Generation, Code Review, Continuous Integration, Software Debugging, DevOps, Fuzz Testing, Design of User Interfaces, Python (Programming Language), Machine Learning, NoSQL, Open Web Application Security, Scrum Methodology, Search Technologies, Secure Coding, Security Software, Software Engineering, Systems Integration, TypeScript, Web Content Accessibility Guidelines, Workflow Management Systems, Google Cloud, Cloud Platform System, ReactJS, Retrieval-Augmented Generation, Large Language Models, Generative AI, AI Coding Agents, Backend, Agentic-AI, Containerization, AngularJS, Information Technology, Tenable Nessus, Machine Learning Operations, Front End Software Development, Azure AI, Restful APIs, Model Context Protocol, Code Restructuring, Software Version Control, Devsecops, Human in the Loop, Docker - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/e0207c46-e47d-4f9d-a600-779ef6a1dc99 ## About the Role * Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). * Core Experience: 5+ years of hands-on full-stack software development experience, including building and supporting production-grade applications. * Generative AI Experience: 1+ year of experience delivering Generative AI capabilities, such as LLM integrations, RAG pipelines, embeddings, vector databases, or AI workflow orchestration. * Technical Stack: Strong proficiency in Python and JavaScript/TypeScript, with hands-on experience in modern front-end frameworks (React or Angular), RESTful APIs, and both relational and NoSQL databases. * AI-Assisted Development: Demonstrated experience using AI coding assistants to write, debug, refactor, test, and document software, paired with the ability to critically audit and validate AI-generated code. * Cloud & DevOps: Experience with at least one major cloud platform (AWS, Azure, or Google Cloud), containerized deployments using Docker, CI/CD pipelines, and automated security scanning tools. * Quality & Compliance: Experience with automated testing, AI output evaluation, secure coding practices, and accessibility compliance (Section 508 / WCAG 2.1 AA). * AI Governance: Familiarity with LLM security risks, human-in-the-loop controls, and federal security and Responsible AI guidelines. * Development Practices: Proficiency with Git version control, peer code reviews, and Agile development methodologies. * Clearance & Eligibility: Ability to obtain a favorable federal background investigation and meet the customer's citizenship or work authorization requirements. * Location: Ability to work onsite in Washington, DC, three (3) days per week., * 7+ years of software development experience, including prior work supporting federal agency programs. * Hands-on experience with Agentic AI / MCP tooling, AI red-teaming/security testing, federal Authority to Operate (ATO) documentation, and AWS Bedrock or Amazon SageMaker. * Industry-recognized Generative AI or Machine Learning certifications (e.g., AWS, Azure AI, Google Cloud, NVIDIA, or CAIP). * Active or prior favorably adjudicated federal government background investigation (e.g., Public Trust or Security Clearance). ## Description Turning Point Global Solutions (TurningPoint) is seeking a Full-Stack Software Engineer to build and support mission-critical applications on a small, forward-deployed team serving a federal customer. In this role, you will leverage AI-assisted development tools to design, implement, test, debug, and document software while integrating advanced Generative AI capabilities into production systems. You will play a key role in ensuring all delivered applications meet strict federal standards for accessibility, security, compliance, and quality., Full-Stack & AI Engineering * Build and support full-stack applications, including accessible user interfaces, back-end APIs, database integrations, and workflow automations. * Develop interfaces that strictly adhere to Section 508 and WCAG 2.1 AA accessibility requirements. * Design and implement LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, vector search, and agentic workflows using Model Context Protocol (MCP) with human-in-the-loop (HITL) oversight. * Leverage approved AI-assisted development tools to design, write, refactor, debug, test, and document code. Security, Testing & Evaluation (TEVV) * Critically review and validate AI-generated code for accuracy, security, maintainability, and compliance with project requirements and federal standards. * Apply secure development practices aligned with customer requirements, the OWASP Top 10 for LLM Applications, and the NIST AI Risk Management Framework (AI RMF). * Execute functional, performance, and adversarial testing (including prompt injection and jailbreak testing) and evaluate AI outputs for accuracy, hallucination, bias, and safety. DevSecOps, MLOps & Operations * Build and maintain CI/CD and MLOps pipelines integrated with automated security scans and Test, Evaluation, Verification, and Validation (TEVV) gates. * Monitor production applications and AI capabilities, troubleshoot technical issues, and support incident response, system maintenance, and helpdesk escalations. * Collaborate within Agile sprints, participate in peer code and prompt reviews, and contribute to Responsible AI and compliance documentation.