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2 дня назад

Senior AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer (LLM/RAG): Building and deploying secure AI-enabled applications and services for U.S. Government environments with an accent on LLM integrations, retrieval pipelines, agentic workflows, and production operations. Focus on tuning model quality, leading adversarial security testing, enforcing release controls, and resolving complex production AI incidents.

Location: Washington, DC metropolitan area; hybrid, with on-site work at Government offices three days per week. Must be a U.S. citizen or lawful permanent resident and able to obtain and maintain a NACI (Tier 1) background investigation.

Company

hirify.global is a mission-focused technology services company delivering secure digital platforms, infrastructure, operational IT services, application modernization, and data platforms for government organizations.

What you will do

  • Design, develop, integrate, and deploy AI-enabled applications and services using LLM integrations, RAG pipelines, embeddings, vector search, and agentic workflows.
  • Evaluate and optimize models and retrieval systems, reduce hallucinations, tune retrieval quality, compare models, and improve performance.
  • Lead adversarial AI security testing for prompt injection, jailbreaks, data poisoning, and unsafe outputs; document and mitigate findings.
  • Enforce DEV-to-PROD promotion controls, including security scans, testing, and TEVV gates.
  • Support MLOps workflows covering model versioning, drift detection, retraining, and release documentation.
  • Provide Tier 2/Tier 3 production support, incident response, root-cause analysis, code and prompt reviews, mentoring, and engineering deliverables.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Systems, or a related technical discipline and 5+ years of relevant experience; three additional years of relevant experience may substitute for the degree.
  • 5+ years of hands-on experience in AI/ML engineering, AI-enabled application development, data engineering, cloud engineering, or software engineering, including direct development, testing, and operational support of AI-enabled systems.
  • 1+ year of hands-on experience with Generative AI, LLM integration, RAG, model evaluation, agentic AI, or production AI systems.
  • Strong Python proficiency and experience developing AI-enabled applications, APIs, services, and automation.
  • Experience with RAG pipelines, semantic retrieval, vector databases, cloud-based AI services, and AI workflow orchestration.
  • Experience conducting AI-specific adversarial testing and documenting mitigations.
  • Experience with FedRAMP-authorized environments and the FISMA Moderate NIST SP 800-53 control baseline.
  • Experience developing AI-enabled user interfaces conforming to Section 508 and WCAG 2.1 A and AA, plus release management and operations experience.
  • At least one current Generative AI or Machine Learning certification with verifiable evidence.
  • Must be a U.S. citizen or lawful permanent resident, reside in the Washington, DC metropolitan area, work on-site at Government offices, and be able to obtain and maintain a NACI (Tier 1) background investigation.

Nice to have

  • Master’s degree in a related field and 7+ years of experience, including federal agency program support.
  • Experience with LangGraph, LlamaIndex, Semantic Kernel, Model Context Protocol, vLLM, or TGI.
  • Experience with multimodal AI, including document layout, OCR/vision, audio, and structured evaluation.
  • Experience supporting Authority to Operate documentation and vulnerability remediation.
  • Active NACI (Tier 1) or prior federal background investigation.

Culture & Benefits

  • Hybrid work with three days per week on-site in the Washington, DC metropolitan area.
  • Medical, dental, vision, FSA, HSA, disability, life, AD&D, and critical illness insurance.
  • Retirement plan with a 4% match and discretionary year-end match.
  • 15 days of accrued PTO per year, seven holidays, three floating holidays, two paid innovation training days, and paid parental and jury duty leave.
  • Training and development, wellness incentives, discount programs, referral rewards, charity donation matching, and recognition programs.

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