AI-Assisted Full-Stack Engineer

Turning Point Global Solutions

. Build and support full-stack applications, including accessible user interfaces, back-end APIs, database integration, and workflow automation .

Posted 10/26/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack application development, including proficiency in Python and JavaScript/TypeScript, and experience with Generative AI capabilities and secure coding practices. Strong understanding of accessibility standards and ability to implement CI/CD and MLOps pipelines.

Highest-signal resume keywords

Full-Stack DevelopmentGenerative AI CapabilitiesPython ProgrammingJavaScript/TypeScript ProficiencyCI/CD Pipeline Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentPython ProgrammingJavaScript/TypeScript ProficiencyRESTful APIsRelational DatabasesNoSQL DatabasesAutomated TestingSecure Coding PracticesAccessibility ComplianceAI Output Evaluation

Soft Skills

Critical Review SkillsProblem-Solving

Tools & Technologies

AI-Assisted Development ToolsDockerAWSAzureGoogle CloudGitAgile Development Practices

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceEligible for Public Trust

Industry Keywords

Section 508 ComplianceWCAG 2.1 AAOWASP Top 10NIST AI RMFHuman-in-the-Loop Controls

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerJavaScriptNoSQLPythonReactTypeScript

About the role

Key responsibilities & impact

Build and support full-stack applications, including accessible user interfaces, back-end APIs, database integration, and workflow automation
Use approved AI-assisted development tools to help design, write, refactor, debug, test, and document code
Review and validate AI-generated code for corrections, security, maintainability, and compliance with project requirements and applicable federal standards
Develop interfaces that meet Section 508 and WCAG 2.1 AA accessibility requirements
Build LLM integrations, RAG pipelines, vector search, and agentic workflows using MCP, with human-in-the-loop oversight
Apply secure development practices aligned with customer requirements, the OWASP Top 10 for LLM Applications, and NIST AI RMF
Run functional, performance, and adversarial testing, including prompt injection and jailbreak testing, and evaluate AI output for accuracy, hallucination, bias, and safety
Build and maintain CI/CD and MLOps pipelines with security scans and TEVV gates
Monitor production applications and AI capabilities, troubleshoot issues, support incident response, maintenance, and helpdesk requests
Work in Agile sprints with code/prompt reviews; contribute to Responsible AI documentation

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent)
5+ years of hands-on full-stack development experience, including building and supporting production applications
1+ year of experience delivering Generative AI capabilities, such as LLM integration, RAG pipelines, embeddings, vector databases, or AI workflow orchestration
Strong proficiency in Python and JavaScript/TypeScript, with experience in React or Angular, RESTful APIs, and relational and NoSQL databases
Experience using AI-assisted development tools to write, debug, refactor, test, and document software, with the ability to critically review and validate AI-generated code
Experience with at least one major cloud platform (AWS, Azure, Google Cloud) and containerized deployments using Docker, CI/CD pipelines, and automated security scans
Experience with automated testing, AI output evaluation, secure coding, and accessibility requirements, including Section 508 / WCAG 2.1 AA
Familiarity with LLM security risks, human-in-the-loop controls, and applicable federal security and Responsible AI requirements
Experience with Git, code reviews, and Agile development practices
Ability to obtain a favorable background investigation and meet the federal customer’s citizenship or work authorization requirements
Eligible for Public Trust
U.S. citizen or green card holder/EAD

Benefits

Comp & perks

Competitive salary with annual performance bonus and annual merit increases
Comprehensive health benefits fully funded by the company for employees
401(k) retirement plan with company match
Paid time off plus holidays
Professional development opportunities
A collaborative and inclusive work culture