
5001 - 10000 employees
Founded 1969
💼 Consulting
🏛️ Government
🏥 Healthcare
💰 $29M Grant on 2023-03
Consulting • Government • Healthcare
ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.
🔥 1 minute ago
🦀 Maryland – Remote
💵 $81.5k - $138.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 0%
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5001 - 10000 employees
Founded 1969
💼 Consulting
🏛️ Government
🏥 Healthcare
💰 $29M Grant on 2023-03
Consulting • Government • Healthcare
ICF is a global consulting firm founded over 55 years ago that partners with governments, businesses, and communities to deliver data-driven, technology-enabled solutions for complex public- and private-sector challenges. Its work areas include digital modernization, data analytics, resilience and adaptation, energy planning, federal health programs, disaster management, and infrastructure and transportation support. ICF provides consulting, program implementation, and advisory services to drive measurable outcomes and build community resilience.
• 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
• 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
• 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
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