AI Developer- Hybrid (US Citizens/ Green Cards- Local to DMV only)

Swingtech•Washington, DC

1d•Hybrid

About The Position

The AI Developer designs and develops secure, accessible, and maintainable AI-enabled applications, APIs, interfaces, and workflow automations. The position operationalizes approved AI models, RAG services, data products, integration services, and human-in-the-loop capabilities in support of DOL agency missions.

Requirements

Bachelor’s degree in computer science, software engineering, information systems, or a related technical discipline.
At least three years of experience in software development, full-stack development, application integration, API development, or cloud-native development.
Proficiency in Python, JavaScript/TypeScript, Java, C#, or other modern programming languages.
Experience with REST APIs, relational and/or NoSQL databases, Git, automated testing, CI/CD, and modern software-development practices.
Experience or demonstrated proficiency integrating AI/ML, LLM APIs, RAG, NLP, search, automation, document intelligence, or comparable AI-enabled capabilities.
Familiarity with application-security principles and secure-coding practices.
Ability to work effectively in a cross-functional agile environment.
Must be willing to work 3 days onsite at customer site in Washington, DC.

Nice To Haves

Experience with React, Angular, Vue, Node.js, FastAPI, Flask, Django, Spring Boot, .NET, or similar modern web/application frameworks.
Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, MCP, AI orchestration frameworks, or vector-store integrations.
Experience with Docker, Kubernetes, serverless technologies, infrastructure as code, API gateways, or cloud-native architectures.
Experience developing Section 508-compliant applications or performing accessibility remediation.
Experience supporting Federal IT, Government repositories, secure DevSecOps environments, or FedRAMP-authorized cloud services.

Responsibilities

Develop full-stack AI-enabled applications, APIs, microservices, dashboards, workflow automations, and enterprise-system integrations.
Implement capabilities using approved LLMs, RAG pipelines, classification models, document intelligence, predictive analytics, generative AI, agentic workflows, and MCP-based services.
Develop backend services that integrate with approved models, vector stores, data platforms, identity providers, enterprise systems, and Government-approved cloud services.
Build accessible web interfaces and dashboards that meet Section 508 and WCAG 2.1 Level A/AA requirements.
Implement user-facing human-in-the-loop controls, including review queues, decision-support displays, overrides, approvals, escalation mechanisms, correction/feedback workflows, audit trails, and role-based access.
Ensure AI outputs are clearly identified, appropriately grounded in approved sources, and presented with citations, limitations, and required user controls.
Develop modular, maintainable, testable code using secure software-development practices, code reviews, version control, automated testing, and CI/CD.
Implement application security controls, including authentication, authorization, input validation, API security, secrets management, encryption, logging, error handling, and rate limiting.
Support AI-security controls, including prompt-injection defenses, safe prompt/context handling, output validation, controlled tool use, and audit logging.
Develop and maintain unit, integration, API, regression, performance, security, and accessibility tests.
Create and maintain technical documentation, architecture records, configuration documentation, deployment scripts, runbooks, release notes, and knowledge-transfer artifacts.
Support production monitoring, release activities, incident response, defect resolution, and continuous improvement.