Senior AI Full Stack Developer

PRECISE SOFTWARE SOLUTIONS INCORPORATED•Washington, DC

7h•Hybrid

About The Position

Precise Software Solutions Inc. is seeking a Senior AI Full Stack Engineer to serve as a senior forward-deployed technical executor for the Government’s Enterprise AI Solution Delivery and Support Services program. 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 built within the government’s AI agent security framework, and you will lead AI security testing and serve as the senior escalation point for production issues.

Requirements

Bachelor's degree in Engineering, Computer Science, Systems, or a related discipline and 5+ years of relevant experience, including 5+ years of hands-on AI/ML engineering, AI-enabled application development, data engineering, cloud engineering, or software engineering.
1+ year of hands-on experience with Generative AI, LLM integration, RAG, model evaluation, agentic AI, or production AI systems.
Strong proficiency in Python, with experience developing AI-enabled applications, APIs, services, and automation, including RAG pipeline design, semantic retrieval, vector databases, and cloud-based AI workflow orchestration.
Knowledge of AI testing, model evaluation, Responsible AI practices, and AI security controls in secure enterprise or federal cloud environments, including 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, and supporting release management, documentation, monitoring, and operational support.
At least one current Generative AI or Machine Learning certification, Microsoft Azure AI, AWS Generative AI/ML, Google Cloud, Databricks, NVIDIA, or Certified Artificial Intelligence Practitioner (CAIP), or an equivalent.
Must be a U.S. citizen or lawful permanent resident (green card holder), reside in the Washington, DC metropolitan area, and be able to pass and maintain a Government background investigation.

Nice To Haves

7+ years of experience, including federal agency programs, with experience in a modern front-end framework (React or Angular with TypeScript), containers (Docker/Kubernetes), and CI/CD tooling.
Experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex, Semantic Kernel), Model Context Protocol (MCP), open-weight model serving (vLLM, TGI), and hands-on AWS Cloud AI development (Amazon Bedrock, Amazon SageMaker, Lambda).
Experience in FedRAMP High or GovCloud environments with SBOM formats (CycloneDX/SPDX), and with AI-assisted accessibility remediation or document processing (OCR, PDF tagging).
A current, favorably adjudicated federal background investigation.

Responsibilities

Design, develop, integrate, deploy, and enhance AI-enabled applications, services, and user interfaces, building LLM integrations, RAG pipelines, embeddings, vector search, and agentic workflows via Model Context Protocol (MCP) engineered to the Government’s AI agent security framework, with prompt and context engineering, structured outputs, model orchestration, and retrieval quality controls (chunking, hybrid retrieval, relevance scoring, grounding validation), ensuring compliance with Section 508 / WCAG 2.1 A and AA.
Implement model evaluation, hallucination reduction, retrieval tuning, and performance optimization; plan and oversee functional, regression, performance, accessibility, adversarial, model-quality, and user acceptance testing; conduct AI-specific adversarial testing (prompt injection, jailbreak, data poisoning) before each release, documenting and mitigating findings; and maintain the RAG knowledge-base refresh schedule, escalating any retrieval-relevance decline.
Enforce promotion controls across environments (security scans, unit tests, TEVV gates, secrets in Government-furnished vaults), support MLOps workflows (versioning, drift detection, retraining, release documentation), and prepare release packages, Software Bills of Materials (SBOMs), and ATO/security-assessment/vulnerability-remediation support.
Serve as a Tier 2 / Tier 3 helpdesk escalation resource for critical and high-severity incidents, and support production operations, root-cause analysis, issue triage, and continuous improvement.
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.
Conduct code and prompt reviews, mentor developers, and act as the primary technical backup for the Lead AI Engineer.

Benefits

Comprehensive Health Benefits (Medical, Dental and Vision)
Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
Retirement Plan with 4% match and discretionary match at year end
Paid Time Off (PTO): 15 days of PTO accrued per year; 7 holidays+ 3 Floating holidays; 2 Innovation days (paid training days)
Short Term and Long-Term Disability
Paid Parental Leave
Paid Jury Duty leave
Life and AD&D Insurance
Critical Illness Insurance
Training and Development
Wellness Incentives & Discount programs
Employee Referral Program
Annual Charity Donation Match
Awards and Recognition