AI Full Stack Developer

Precise Software Solutions, Inc.

. Design, develop, and enhance secure Government-owned AI-enabled full-stack applications .

Posted 10/9/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software development, including front-end and back-end technologies, with a strong focus on Generative AI capabilities and secure coding practices. Proficient in building accessible applications that comply with federal standards and conducting thorough evaluations of AI outputs.

Highest-signal resume keywords

Full-Stack Software DevelopmentGenerative AI CapabilitiesPython ProgrammingRESTful API DesignAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack Software DevelopmentGenerative AI IntegrationPython ProgrammingJavaScript/TypeScriptRESTful API DesignRelational DatabasesNoSQL DatabasesDocker/KubernetesAutomated TestingSecure Coding Practices

Tools & Technologies

AWSAzureGoogle CloudCI/CD PipelinesGitJiraMCP Tools

Certifications & Qualifications

Microsoft Azure AIAWS Generative AI/MLGoogle CloudDatabricksSnowflake SnowProNVIDIACAIP

Industry Keywords

Section 508 ComplianceWCAG 2.1 A and AAAI Security FrameworkOWASP Top 10NIST AI RMFAdversarial TestingHuman-in-the-Loop OversightResponsible AI DocumentationImpact AssessmentsFederal Security Requirements

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerJavaScriptKubernetesNoSQLPythonReactTypeScript

About the role

Key responsibilities & impact

Design, develop, and enhance secure Government-owned AI-enabled full-stack applications
Build accessible front-end interfaces meeting Section 508 / WCAG 2.1 A and AA requirements
Develop back-end APIs, services, and workflow automation
Build LLM integrations, RAG pipelines, vector search, and agentic AI workflows using MCP-based tools
Apply the government’s AI agent security framework, including OWASP Top 10 for LLM Applications and NIST AI RMF
Perform prompt engineering, retrieval quality controls, and human-in-the-loop oversight
Plan and execute functional, performance, and AI-specific adversarial testing, including prompt injection and jailbreak testing
Evaluate AI outputs for accuracy, hallucination, bias, and safety
Build and maintain CI/CD and MLOps pipelines with security scans and TEVV gates
Prepare release artifacts
Monitor production AI systems and perform root-cause analysis
Support incident response and scheduled helpdesk support
Contribute to Responsible AI documentation, including model cards and impact assessments
Participate in two-week Agile sprints using Government-furnished AI engineering tools
Participate in code and prompt reviews under security gates
Maintain code, prompts, and documentation in Government-approved repositories with full traceability

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field and 5+ years of relevant experience
Equivalent experience may substitute for the degree
5+ years of hands-on full-stack software development spanning front-end and back-end technologies
1+ year of hands-on experience delivering Generative AI capabilities, such as LLM integration, RAG pipelines, embeddings, vector databases, or AI workflow orchestration
Strong proficiency in Python, JavaScript/TypeScript, and a modern front-end framework such as React or Angular
Experience designing RESTful APIs
Experience with relational and NoSQL databases
Experience developing on AWS, Azure, or Google Cloud
Experience with Docker/Kubernetes and CI/CD pipelines
Experience with automated testing and evaluating AI output quality for accuracy, relevance, and hallucination
Experience with secure coding practices and federal security requirements
Experience building interfaces conforming to Section 508 / WCAG 2.1 A and AA
Experience working within Agile teams using Git and Jira
Must be a U.S. citizen or lawful permanent resident (green card holder)
Must reside in the Washington, DC metropolitan area
Must be able to work on-site at Government offices
Must be able to obtain and maintain a favorable government background investigation
Generative AI or Machine Learning certification, such as Microsoft Azure AI, AWS Generative AI/ML, Google Cloud, Databricks, Snowflake SnowPro, NVIDIA, or CAIP
Preferred: 7+ years of software development experience, including support of federal agency programs
Preferred: experience with agentic AI frameworks, MCP tooling, open-weight model serving, vector stores, prompt-injection security testing, and ATO documentation
Preferred: knowledge of AWS Cloud AI development services, Amazon Bedrock, SageMaker, Lambda, and API Gateway
Preferred: active or previously favorably adjudicated government background investigation

Benefits

Comp & perks

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