Full Stack Developer – Global Health, AI

ICF

. Build a governed data-access application enabling users to explore data in natural language .

Posted 10/8/2026full-timeRemote • Maryland • 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, particularly in building production-grade applications with a focus on data access and integration of AI services. Proficient in implementing security measures and ensuring production readiness while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

Full Stack DevelopmentIntegration of LLMsJavaScript/TypeScript and React/Angular/VueAuthentication and Authorization ImplementationRESTful API Design and Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full Stack DevelopmentJavaScriptTypeScriptReactAngularVuePythonSQLRESTful API DesignAgentic Coding Tools

Soft Skills

Clear CommunicationCollaborationSelf-MotivationRelationship Building

Tools & Technologies

Cloud PlatformsInfrastructure as CodeCI/CDMCP ServersAI Workflow Orchestration

Industry Keywords

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

Tech Stack

Tools & technologies

AngularCloudJavaJavaScriptNode.jsNoSQLPythonReactSQLTypeScriptVue.jsGo

About the role

Key responsibilities & impact

Build a governed data-access application enabling users to explore data in natural language
Implement authentication, authorization, audit logging, and disclosure-risk controls to protect respondent privacy
Develop offline-first field tools for interviewers and field supervisors that operate on low-end devices with intermittent connectivity
Build reliable synchronization for offline tools when connectivity returns
Integrate AI services into applications and expose model pipelines through well-designed APIs
Develop 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 through testable code and required quality gates
Produce documentation enabling 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 AI engineers, survey experts, designers, and partner-country teams to take solutions from prototype to production

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
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, 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 such as React, Angular, or Vue
Strong back-end development experience in Python or another modern language such as JavaScript/Node.js, Go, Java, or C#
Experience with relational database design and SQL; NoSQL experience 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 such as Claude Code, OpenAI Codex, Cursor, or GitHub Copilot agent mode
Preferred: experience building offline-first or low-connectivity applications
Preferred: experience building data-access, analytics, or research-data applications with role-based access
Preferred: experience working with statisticians or researchers, or with statistical data and workflows
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
Preferred: experience building multilingual or localized interfaces
Preferred: experience in global health, international development, or low- and middle-income country settings
Builds productive relationships across seniority levels, cultures, and time zones
Collaborates closely with designers, product owners, statisticians, and other engineers
Self-motivated and able to add value without extensive direct supervision
Communicates clearly and translates between technical and non-technical stakeholders
Can simplify complex topics for business and program audiences

Benefits

Comp & perks

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