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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Full Stack Engineer - **Company:** PRECISE SOFTWARE SOLUTIONS INC. - **Location:** Washington, DC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Adobe Analytics, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Cloud Engineering, Configuration Management, Information Engineering, Fuzz Testing, Information Retrieval, Python (Programming Language), Machine Learning, Performance Tuning, Release Management, Search Technologies, Software Engineering, Software Systems, TypeScript, Software Vulnerability Management, Web Content Accessibility Guidelines, Google Cloud, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Hallucination Detection, Model Validation, Data Poisoning, Llamaindex, Generative AI, Agentic-AI, AngularJS, Kubernetes, Information Technology, Machine Learning Operations, 3-tier Architectures, Drift Detection, Semantic Kernel, Software Version Control, Devsecops, Docker, Databricks - **Published:** October 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18496283?backUrl=%2Fcareer%2F18496283%2FSenior-Ai-Full-Stack-Engineer-D-C-Washington ## About the Role * Must be a U.S. citizen or lawful permanent resident (green card holder). * Must reside in the Washington, DC metropolitan area and be able to work on-site at DC Government offices. * Must be able to pass and maintain a Government background investigation., * Bachelor's degree in Engineering, Computer Science, Systems, or a related scientific/technical discipline and 5+ years of relevant experience. * 5+ years of hands-on experience in AI/ML engineering, AI-enabled application development, data engineering, cloud engineering, or software engineering, including direct development, integration, testing, and operational support of AI-enabled systems. * 1+ year of hands-on experience with Generative AI, LLM integration, RAG, model evaluation, agentic AI, or production AI systems. * Strong proficiency in Python and experience developing AI-enabled applications, APIs, services, and automation. * Experience designing and deploying RAG pipelines, semantic retrieval, vector databases, cloud-based AI services, and AI workflow orchestration. * Knowledge of AI testing, model evaluation, Responsible AI practices, and AI security controls in secure enterprise or federal cloud environments. * Experience conducting AI-specific and adversarial testing (prompt injection, jailbreak, data poisoning) and documenting mitigations. * Experience developing AI-enabled user interfaces that conform to Section 508 / WCAG 2.1 A and AA. * Experience supporting release management, documentation, monitoring, and operational support. * At least one current Generative AI or Machine Learning certification, such as Microsoft Azure AI, AWS, Google Cloud, Databricks, NVIDIA, or CAIP, or an equivalent. * Must be a U.S. citizen or lawful permanent resident (green card holder). * Must reside in the Washington, DC metropolitan area and be able to work on-site at Government offices. * Must be able to pass and maintain a Government background investigation., * Master's degree in a related field and 7+ years of experience, including federal agency programs. * Experience with a modern front-end framework (e.g., React or Angular with TypeScript) and with containers (Docker/Kubernetes) and CI/CD tooling. * Experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Semantic Kernel), MCP, and open-weight model serving (e.g., vLLM, TGI). * Experience in FedRAMP High or GovCloud environments and with SBOM formats (CycloneDX or SPDX). * Experience with AI-assisted accessibility remediation or document processing (OCR, PDF tagging). * A current, favorably adjudicated federal background investigation. ## Description Precise Software Solutions Inc. is seeking a Senior AI Full Stack Engineer to serve as the lead technical executor for a Generative AI engineering program supporting the federal government. You will build, integrate, test, deploy, and operate secure AI-enabled applications, and you will own the program's core build, test, and pipeline deliverables., You will work hands-on across the full stack, from accessible user interfaces to APIs, RAG pipelines, and agentic workflows, and you will lead AI security testing and serve as the senior escalation point for production issues., AI Application Development * Design, develop, integrate, deploy, and enhance AI-enabled applications, services, and user interfaces. * Build and maintain LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, agentic workflows, and AI-enabled automation. * Implement prompt and context engineering, structured outputs, model orchestration, and retrieval quality controls such as chunking, hybrid retrieval, relevance scoring, and grounding validation. * Ensure AI-enabled applications and interfaces meet security, privacy, and Section 508 / WCAG 2.1 A and AA accessibility requirements. Evaluation, Testing, and AI Security * Implement model evaluation, hallucination reduction, retrieval quality tuning, monitoring, and performance optimization, including side-by-side comparisons for model upgrades. * Plan and oversee unit, integration, functional, regression, performance, load, accessibility, adversarial, model-quality, and user acceptance testing. * Conduct AI-specific security and adversarial testing (prompt injection, jailbreak, data poisoning, unsafe output, unauthorized disclosure) before each release, and document and mitigate findings. * Maintain the RAG knowledge-base refresh schedule and escalate any retrieval-relevance decline. DevSecOps, MLOps, and Releases * Enforce promotion controls across environments, including security scans, unit tests, and TEVV gates, with secrets kept in Government-furnished vaults. * Support MLOps workflows, including model versioning, drift detection, retraining, and release documentation. * Prepare release packages and Software Bills of Materials (SBOMs), and support ATO, security assessment, and vulnerability remediation activities. Operations and Support * Serve as a Tier 2 / Tier 3 helpdesk escalation resource, reachable within business hours and providing escalation support for critical and high-severity incidents. * Support production operations, root-cause analysis, issue triage, and continuous improvement. Deliverables You Will Own * AI/RAG Pipeline Designs; AI System Test Plans; Configuration Management Plan; Evaluation and Adversarial Testing Reports; Software Bills of Materials; and co-authorship of the AI Security Certification Package. Team Leadership * Conduct code and prompt reviews, mentor developers, and act as the primary technical backup for the Lead AI Engineer. ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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