• Design and build LLM pipelines and agents for survey workflows, including:
• an AI-assisted data-to-report pipeline
• natural-language analysis of survey data
• multilingual questionnaire translation
• field support tools for interviewers and supervisors
• Build evaluation harnesses as first-class deliverables. Work with the Technical Lead and survey experts to define acceptance criteria before the work is judged. Build test sets from expert-produced ground truth and run the non-inferiority comparisons that decide whether a tool moves forward.
• Route work across models based on reasoning complexity, volume, cost, latency, and data-residency requirements.
• Manage inference cost by tracking token usage, context limits, prompt caching, and batch processing, and account for these operating costs in model-selection decisions.
• Connect models to data services and to the applications built by full stack developers.
• Use agentic coding tools to produce software from clear specifications, then review, test, and own the resulting code.
• Monitor production systems, conduct disciplined error analysis, and report positive and negative results.
• Document methods and results for public release , including negative results. Help transfer tools to partner-country institutions so they can run them on their own.

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent years experience)
• Minimum 4 years of professional software development experience, including building LLM-powered systems that real users relied on in production
• U.S. citizenship is required by federal government contract

Additional Required Skills and Experience

• Proficiency in Python or another modern programming language (e.g., JavaScript/TypeScript, Go) for back-end and AI application development
• Hands-on experience building with frontier-model APIs (from any provider, or through any cloud platform), including tool use and retrieval-augmented generation
• Demonstrated experience designing LLM evaluations, including test-set construction, automated and human grading, regression testing, and ship/no-ship decisions.
• Working knowledge of LLM cost, latency, and model-selection trade-offs
• Experience building and deploying on a major cloud platform (e.g., AWS, Azure, or Google Cloud)
• Demonstrated experience using agentic coding tools, such as Claude Code, OpenAI Codex, Cursor, Antigravity, or GitHub Copilot agent mode, to specify, review, test, and take ownership of production code.
• Experience with agent frameworks and AI evaluation tooling.

Preferred Skills

• Experience with tasks where ground truth came from subject matter experts (for example, statisticians, clinicians, scientists, or methodologists)
• Experience with grounded generation over structured or tabular data, or with LLM-assisted statistical analysis
• Experience with multilingual or low-resource-language NLP, translation, or speech
• Experience deploying open-weight models
• Experience with sensitive or regulated data, such as health data or human-subjects research
• Familiarity with model governance, monitoring, and responsible AI practice
• Experience in global health, international development, or low- and middle-income country settings
• Public work such as open-source contributions, published evaluations, or technical writing about systems you built undefined

Professional Skills

• Explains AI trade-offs clearly to technical and non-technical audiences, including funders, survey experts, and partner-government staff
• Collaborates effectively across disciplines, cultures, time zones, and organizational levels while treating domain experts as the source of truth
• Communicates uncertainty, limitations, and negative results candidly.Self-motivated
• Finds ways to add value without a lot of direct supervision

Indeed

LI-CCI

GHDAI

Bot and Third-Party Applications

ICF’s Global Health and Development (GHD) line of business, part of the Health, People, and Human Services (HPHS) Group, is seeking an Applied AI Engineer to build frontier-model systems for various global health and survey programs. This role will support the development of AI-enabled tools that draft survey reports, let researchers and policymakers analyze data in natural language, translate questionnaires into low-resource languages, and support interviewers and data quality in the field. No tool is adopted unless it matches or beats the expert-led process it replaces. You will build the prompting, agent, and pipeline layer across the program. You will also build the evaluation harnesses that show whether each tool actually works, judged against ground truth produced by some of the most experienced survey methodologists in the world., 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 (https://www.icf.com/legal/equal-employment-opportunity) policy.

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