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# Full Stack Developer - Global Health & AI (REMOTE ROLE)

- **Company:** ICF Incorporated, L.L.C.
- **Location:** Reston, VA, United States (Remote available)
- **Salary:** $81,499.0 - $138,549.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Audit Trail, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Data as a Services, Relational Databases, Cursor, Python (Programming Language), Node.Js, NoSQL, SQL Databases, Systems Integration, TypeScript, Web Application Frameworks, Google Cloud, Cloud Platform System, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Backend, Agentic-AI, Vue.js, AI Platforms, AngularJS, Low Latency, Production Code, Restful APIs, OpenAI Codex, Golang
- **Published:** October 9, 2026
- **Apply:** https://dejobs.org/x/x/EB84E1BE64914FE1B413BB3D0F7ECEC0/job/

## About the Role

* Bachelor's degree (or equivalent) with Minimum 5 years, OR
 * Master's degree with Minimum 2 years, of professional full stack development experience building production-grade applications
 * Minimum 1year of experience integrating LLMs into production systems, with attention to error handling, security, and reliability
 * Minimum 1year of experience with a major cloud platform (e.g., AWS, Azure, or Google Cloud), infrastructure as code, and CI/CD
 * U.S. citizenship is required by federal government contract

Additional Required Skills and Experience

 * Experience with JavaScript/TypeScript and a modern front-end framework (e.g., React, Angular, or Vue)
 * Strong back-end development experience in Python or another modern language (e.g., JavaScript/Node.js, Go, Java, C#)
 * Experience with relational database design and SQL. Experience with NoSQL technologies is a plus
 * Experience designing and integrating RESTful APIs
 * Hands-on experience implementing authentication, authorization, and audit logging in a production application
 * Demonstrated experience using agentic coding tools (e.g., Claude Code, OpenAI Codex, Cursor, or GitHub Copilot agent mode) to specify, review, test, and deliver production code.

Preferred Skills

 * Experience building offline-first or low-connectivity applications
 * Experience building a data-access, analytics, or research-data application with role-based access
 * Experience working with statisticians or researchers, or with statistical data and workflows
 * Understanding of LLM cost, latency, and reliability trade-offs, with exposure to agent frameworks, AI workflow orchestration, MCP servers, or AI evaluation and testing tools.
 * Experience building multilingual or localized interfaces
 * Experience in global health, international development, or low- and middle-income country settings

Professional Skills

 * Builds productive relationships across seniority levels, cultures, and time zones.
 * Collaborates closely with designers, product owners, statisticians, and other engineers
 * Enjoys wearing multiple hats and taking on varied technical challenges
 * Self-motivated. Finds ways to add value without a lot of direct supervision
 * Communicates clearly and translates between technical and non-technical stakeholders
 * Can simplify complex topics for business and program audiences

## Description

* Build a governed data-access application that lets users explore data in natural language. This includes the authentication, authorization, audit logging, and disclosure-risk controls that make that safe. In this application, access control is a core safeguard for respondent privacy.
 * Develop offline-first field tools for interviewers and field supervisors. These tools must work reliably on low-end devices with intermittent connectivity and sync cleanly when a connection returns.
 * Integrate AI services into applications , working with the Applied AI Engineer to expose model pipelines through well-designed APIs, including MCP connectors that make DHS data available in AI assistants.
 * Spec out and build products with agentic coding tools. Write the specifications that drive agent-led development, then review, test, and own the code that results.
 * Design data services and schemas for survey metadata, microdata, and the results of AI-assisted processing.
 * Ensure production readiness and sustainable handover. Write testable, well-tested code that passes required quality gates, and produce clear documentation so partner-country institutions can operate and openly publish tools without ongoing ICF support.
 * Communicate progress to technical and non-technical stakeholders, including survey experts, program leadership, and partner institutions.