Full Stack Developer — Global Health & AI (REMOTE ROLE)

ICF; United States; Remote; USD 81,000 - 139,000; Full time

Job summary

ICF is seeking a Full Stack Developer for Global Health & AI to build AI-enabled applications and APIs that accelerate survey timelines and enable low-connectivity field work.

You will collaborate with AI engineers, survey experts, designers, and partner-country teams, delivering production-grade software, secure cloud apps, and offline tools while ensuring maintainable handover and clear documentation.

Qualifications

• Bachelor’s degree (or equivalent) with Minimum 5 years, OR
• Master’s degree with Minimum 2 years, of professional full stack development experience
• 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

Responsibilities

• Build a governed data-access application that lets users explore data in natural language with access control
• Develop offline-first field tools for interviewers and field supervisors
• Integrate AI services into applications via APIs and MCP connectors
• Write specifications that drive agent-led development and own the resulting code
• Design data services and schemas for survey metadata, microdata, and AI outputs
• Ensure production readiness with tests and documentation for partner-country institutions
• Communicate progress to technical and non-technical stakeholders

Skills

JavaScript/TypeScript

Frontend framework

Backend development

RESTful APIs

Auth/Logging security

LLM integration

Cloud platforms

CI/CD

Agentic coding tools

Education

Bachelor's degree

Master's degree

Tools

AWS

Azure

Google Cloud

CI/CD pipelines

Job description

Full Stack Developer — Global Health & AI

ICF’s Global Health and Development (GHD) line of business, part of the Health, People, and Human Services (HPHS) Group, is seeking a Full Stack Developer to build applications that apply AI across global health and survey programs. You will develop applications, APIs, and data services that help shorten survey timelines, reduce costs, and equip national institutions with AI-supported tools. Working with AI engineers, survey experts, designers, and partner-country teams, you will take solutions from prototype to production, including secure cloud applications and offline tools for low-connectivity settings.

_ This position can be remote within the United States, with occasional international travel. _

_ It is contingent upon award of program funding. _

Key Responsibilities

• 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.

Minimum Required Experience

• 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

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world’s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [e-mail]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 - $138,549.00

Nationwide Remote Office (US99)