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2 дня назад

AI Developer

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
AI Developer (Python/RAG): Building secure AI-enabled applications for U.S. Government organizations through data pipelines, knowledge bases, Python services, and LLM integrations with an accent on retrieval-augmented generation, data quality, and deployment automation. Focus on developing vector-indexed knowledge bases, implementing CI/CD and model-lifecycle pipelines, validating datasets with PII controls, and troubleshooting AI application workflows.

Location: Washington, DC metropolitan area; hybrid, with on-site work at Government offices in DC three days per week. Must be a U.S. citizen or lawful permanent resident and eligible to obtain and maintain a Public Trust background investigation.

Company

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

What you will do

  • Develop and maintain ETL/ELT data ingestion, transformation, and processing pipelines for structured and unstructured AI content.
  • Build and refresh RAG knowledge bases using document chunking, embeddings, and vector indexing.
  • Develop Python services, APIs, LLM integrations, prompt templates, structured outputs, and agentic workflow components under senior-engineer direction.
  • Build CI/CD and model-lifecycle pipelines with automated tests, security scans, and TEVV gates across environments.
  • Curate and version datasets, maintain metadata and lineage, apply data-quality checks, and implement PII masking and data-minimization controls.
  • Monitor pipelines and vector indexes, troubleshoot failures, support incident response, assist AI application users through helpdesk support, and prepare technical documentation.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field plus 1+ year of relevant experience; equivalent experience may substitute for the degree.
  • 1+ year of hands-on Python software development experience.
  • Experience building data pipelines or processing jobs and working with SQL and relational or NoSQL databases.
  • Hands-on Generative AI exposure through work, an internship, or substantial projects, including LLM APIs, embeddings, vector databases, or RAG.
  • Familiarity with AWS, Azure, or Google Cloud, Git, and CI/CD tools.
  • Experience supporting technical or application users through ticket triage, troubleshooting, and clear communication with non-technical users.
  • 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 Public Trust background investigation.

Nice to have

  • 3+ years of software or data engineering experience, including support for federal agency programs.
  • Experience with RAG frameworks, vector stores, OCR, PDF parsing, Docker, Kubernetes, and MLOps tools.
  • Experience with ServiceNow, Jira Service Management, or ITIL Foundation certification.
  • Generative AI or Machine Learning certification from providers such as Microsoft Azure, AWS, Google Cloud, Databricks, or NVIDIA.
  • Active Public Trust status or a prior federal background investigation.

Culture & Benefits

  • Medical, dental, and vision benefits, plus FSA and HSA options.
  • Retirement plan with a 4% match and discretionary year-end match.
  • 15 days of accrued PTO, seven holidays, three floating holidays, and two paid innovation training days.
  • Short- and long-term disability, paid parental leave, paid jury duty leave, life and AD&D insurance, and critical illness insurance.
  • Training and development, wellness incentives, discount programs, employee referral rewards, charity donation matching, and recognition awards.

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