AI Developer- Hybrid (US Citizens/ Green Cards- Local to DMV only)
Required skills
- AI Developer
- AI-enabled applications
- APIs
- workflow automations
- LLMs
- RAG services
- data products
- integration services
- human-in-the-loop
- microservices
Nice to have
- React
- Angular
- Vue
- Node.js
- FastAPI
- Flask
Role summary
The AI Developer will design and build secure, accessible, and maintainable AI-enabled applications, APIs, and workflow automations for DOL agency missions. Responsibilities include developing full-stack AI applications using LLMs, RAG, and generative AI, integrating backend services with various data platforms and cloud services, and building accessible web interfaces. The role requires implementing user-facing human-in-the-loop controls, ensuring AI outputs are grounded and cited, and adhering to secure software development practices, including CI/CD and application security controls. Experience with Python, JavaScript, Java, REST APIs, databases, Git, automated testing, and AI/ML integration is essential. Familiarity with application security principles and agile environments is also required. The position is hybrid, requiring 3 days onsite in Washington, DC.
Position Summary
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.
Essential Duties
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Summary of Benefits
- 15 PTO days
- 11 paid holidays
- Medical Insurance with – 3 options (HSA with $600 Employer Contribution).
- Dental Insurance with no age limit orthodonture.
- Vision Insurance through EyeMed in and out of network coverage.
- Short Term and Long-Term Disability coverage with 100% premium support,
- Life insurance and AD&D with 100% premium support
- Supplemental Life Insurance
- Critical Care and Accident Insurance availability
- Pet Insurance through Nationwide
- Employee Assistance Program
- 401k with enrollment from day one. 4% deferral by company.
- $1500 Annual Training Budget
- $1500 Referral bonus
- Eligibility for annual merit and discretionary bonus
- Flexible work arrangements
Equal Opportunity Employer Minority/Female/Veterans/Disabled
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