ICF
ICF
ICF este o companie globală de consultanță care ajută guvernele, companiile și comunitățile să abordeze provocări complexe prin date, tehnologie și expertiză în implementarea programelor. Înființată în 1969, compania activează în domeniile consultanței, administrației publice și sănătății, sprijinind modernizarea digitală, analiza datelor, reziliența și adaptarea, planificarea energetică, programele federale de sănătate, gestionarea dezastrelor, infrastructura și transporturile. Echipele sale combină serviciile de consultanță cu implementarea programelor pentru a ajuta clienții să obțină rezultate măsurabile și să consolideze reziliența comunităților.

Applied AI Engineer, Global Health — Remote

Build LLM pipelines, AI agents, and evaluation systems for ICF’s global health and survey programs. Create tools for reporting, analysis, translation, and field operations.

Descriere

  • Create LLM pipelines and agents that support survey workflows
  • Develop AI-assisted processes that turn data into reports
  • Build natural-language tools for analyzing survey data
  • Create multilingual tools for translating questionnaires
  • Develop field-support applications for interviewers and supervisors
  • Create evaluation harnesses and establish acceptance criteria with technical and survey specialists
  • Assemble expert-grounded test sets and perform non-inferiority comparisons
  • Select models according to reasoning demands, workload, cost, latency, and data-residency constraints
  • Control inference spending through token monitoring, context management, prompt caching, and batch execution
  • Integrate models with data services and full-stack applications
  • Use agentic coding tools to build, review, test, and maintain production software
  • Observe live systems and perform structured error analysis
  • Communicate both successful and unsuccessful results
  • Record methods and findings for public dissemination
  • Support the transfer of tools to institutions in partner countries

Cerințe

  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent professional experience
  • At least four years of professional software development experience, including production LLM systems used by real users
  • U.S. citizenship, as required for the federal government contract
  • Proficiency in Python or a comparable modern language such as JavaScript, TypeScript, or Go
  • Practical experience with frontier-model APIs, including tool use and retrieval-augmented generation
  • Experience designing LLM evaluations through test-set creation, automated and human grading, regression testing, and release decisions
  • Understanding of the cost, latency, and model-selection trade-offs involved in LLM systems
  • Experience deploying applications on a major cloud platform such as AWS, Azure, or Google Cloud
  • Experience with agentic coding tools including Claude Code, OpenAI Codex, Cursor, Antigravity, or GitHub Copilot agent mode
  • Experience with agent frameworks and AI evaluation tools

Beneficii

  • Work remotely from within the United States
  • Occasional travel may be required
  • Reasonable accommodations are available for disabilities, veterans, and sincerely held religious beliefs
  • Equal opportunity employment
  • Confidential accommodation assistance is available throughout the application and employment process

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