Applied AI Engineer – Global Health

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $98.6k - $167.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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ICF

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

🏥 Healthcare

📦 Logistics

📣 Marketing

💰 $30M Grant on 2021-03

Healthcare • Logistics • Marketing

ICF is a global consulting and technology services company that helps government and commercial clients tackle complex challenges. The firm provides expertise in areas such as Federal IT modernization, energy and utilities, public health, climate resilience, disaster management, and transportation. ICF leverages data and analytics, artificial intelligence, and cybersecurity to deliver innovative solutions. With a strong commitment to corporate citizenship and sustainability, ICF supports social programs and community development, aiming for a sustainable, low-emissions future. The company operates worldwide, with significant presence in Europe through its offices in Belgium, Spain, and the UK.

📋 Description

• Design and build LLM pipelines and agents for survey workflows • Build AI-assisted data-to-report pipelines • Enable natural-language analysis of survey data • Develop multilingual questionnaire translation tools • Build field-support tools for interviewers and supervisors • Build evaluation harnesses with acceptance criteria, expert-produced ground truth, test sets, automated and human grading, regression testing, and ship/no-ship decisions • Route work across models based on reasoning complexity, volume, cost, latency, and data-residency requirements • Manage inference costs through token-usage tracking, context limits, prompt caching, and batch processing • Connect models to data services and full-stack applications • Use agentic coding tools to produce, review, test, and own production software • Monitor production systems, conduct error analysis, and report positive and negative results • Document methods and results for public release • Transfer tools to partner-country institutions for independent operation • Collaborate with the Technical Lead, survey experts, funders, and partner-government staff

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent years of experience • Minimum 4 years of professional software development experience, including building LLM-powered systems relied on by real users in production • U.S. citizenship required by federal government contract • Must be eligible to work in the United States without sponsorship • Proficiency in Python or another modern programming language, such as JavaScript/TypeScript or Go • Hands-on experience with frontier-model APIs, including tool use and retrieval-augmented generation • 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 AWS, Azure, Google Cloud, or another major cloud platform • Experience using agentic coding tools to specify, review, test, and own production code • Experience with agent frameworks and AI evaluation tooling • Preferred: experience with subject-matter-expert ground truth, structured or tabular data, multilingual or low-resource-language NLP, open-weight models, sensitive or regulated data, model governance, global health, public work, or technical writing • Ability to explain AI trade-offs clearly to technical and non-technical audiences • Ability to collaborate across disciplines, cultures, time zones, and organizational levels • Ability to communicate uncertainty, limitations, and negative results candidly • Self-motivated and able to add value with limited direct supervision

🏖️ Benefits

• Occasional travel • Reasonable accommodations for disability, religious purposes, disabled veterans, individuals with disabilities, and sincerely held religious beliefs • Equal opportunity employment • Benefit offerings referenced under the Transparency in Coverage Act