Full Stack Developer – Global Health, AI

ICF

. Build a governed data-access application that lets users explore data in natural language, including authentication, authorization, audit logging, and disclosure-risk controls .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $81,499 - $138,549 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full stack development, integrating AI services, and building production-grade applications with a focus on data access and security. Proficient in collaborating across diverse teams and communicating effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Full Stack DevelopmentAI IntegrationCloud Platform ExperienceRESTful API DesignAuthentication and Authorization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptTypeScriptPythonSQLRelational Database DesignAgentic Coding ToolsNoSQL TechnologiesOffline-First Application DevelopmentMicrodata DesignData Services Design

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

AWSAzureGoogle CloudCI/CDMCP ConnectorsAI Workflow OrchestrationClaude CodeOpenAI CodexCursorGitHub Copilot

Industry Keywords

Global HealthInternational DevelopmentLow- and Middle-Income CountriesStatistical DataResearch Data Applications

Tech Stack

Tools & technologies

AngularAWSAzureCloudJavaJavaScriptNode.jsNoSQLPythonReactSQLTypeScriptVue.jsGo

About the role

Key responsibilities & impact

Build a governed data-access application that lets users explore data in natural language, including authentication, authorization, audit logging, and disclosure-risk controls
Develop offline-first field tools for interviewers and field supervisors that work reliably on low-end devices with intermittent connectivity and sync cleanly when a connection returns
Integrate AI services into applications and expose model pipelines through well-designed APIs, including MCP connectors that make DHS data available in AI assistants
Specify and build products with agentic coding tools, then review, test, and own the resulting code
Design data services and schemas for survey metadata, microdata, and AI-assisted processing results
Ensure production readiness and sustainable handover through tested code, quality gates, and clear documentation
Enable partner-country institutions to 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
Collaborate with designers, product owners, statisticians, and other engineers across cultures and time zones

Requirements

What you’ll need

Bachelor's degree (or equivalent) with Minimum 5 years of professional full stack development experience building production-grade applications, OR Master's degree with Minimum 2 years of professional full stack development experience building production-grade applications
Minimum 1 year of experience integrating LLMs into production systems, with attention to error handling, security, and reliability
Minimum 1 year 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
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 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
Experience with NoSQL technologies is a plus
Experience building offline-first or low-connectivity applications is preferred
Experience building a data-access, analytics, or research-data application with role-based access is preferred
Experience working with statisticians or researchers, or with statistical data and workflows is preferred
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 is preferred
Experience building multilingual or localized interfaces is preferred
Experience in global health, international development, or low- and middle-income country settings is preferred

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs
Confidential accommodation support throughout the application and employment process