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2 дня назад

Data & AI Engineer (Agentic Systems)

148 750 - 201 250$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Data & AI Engineer (Agentic Systems) (Agentic AI/Python): Building reliable agentic AI applications that connect LLMs with tools, APIs, enterprise data, and mission workflows with an accent on agent orchestration, RAG, backend services, and secure cloud-native integration. Focus on designing multi-step workflows, integrating AI capabilities into existing platforms, and solving reliability, performance, security, and deployment challenges in classified environments.

Location: Remote within the United States, with 2–3 days per week onsite at a government facility in Springfield, VA; additional onsite presence may be required as mission needs increase. Candidates must be local to the National Capital Region and able to support onsite work.

Salary: $148,750–$201,250 USD annually.

Company

hirify.global delivers secure, cloud-native software delivery, integration, testing, and deployment solutions for federal and enterprise customers.

What you will do

  • Design, build, and maintain agentic AI applications integrating LLMs, tools, APIs, enterprise data, and mission workflows.
  • Develop AI agents for multi-step tasks, external service interactions, workflow state management, tool execution, error handling, and human oversight.
  • Build RAG pipelines, semantic search, embeddings, and vector-based retrieval for relevant application context.
  • Develop Python backend services and REST APIs, integrating AI capabilities into existing applications, delivery workflows, and enterprise platforms.
  • Establish testing, evaluation, monitoring, reliability, documentation, reusable components, and operational standards for AI applications.
  • Collaborate with government engineers, data and platform engineers, and commercial technology partners to deploy and troubleshoot applications in Kubernetes/OpenShift and CI/CD environments.

Requirements

  • Approximately 3–5 years of software engineering experience or equivalent demonstrated technical capability.
  • Hands-on experience building agentic AI applications, including AI agents, LLM tool calling, multi-step workflows, or agent orchestration.
  • Strong proficiency with Python and backend software development.
  • Experience integrating LLMs into applications through APIs, SDKs, or comparable technologies, and building REST APIs that connect to external services or data sources.
  • Understanding of agent workflows, tool execution, state management, and error handling.
  • Experience with Git, testing, debugging, modern software development practices, and cloud-native or containerized environments.
  • Ability to troubleshoot issues across APIs, data services, infrastructure, application services, and AI components.
  • Ability to work independently, learn unfamiliar technologies quickly, and translate ambiguous mission needs into working software.
  • Active Top Secret clearance with SCI eligibility required.

Nice to have

  • Experience with LangGraph, LangChain, CrewAI, AutoGen, or comparable agentic AI frameworks.
  • Experience developing multi-agent systems, autonomous workflows, or AI-enabled software development tools.
  • Experience with Model Context Protocol, function calling, or other tool integration patterns.
  • Experience with RAG, embeddings, vector databases, semantic search, or knowledge graphs.
  • GEOINT experience.

Culture & Benefits

  • Work on secure, cloud-native solutions for defense and civil agencies in classified and high-security environments.
  • Full-time employees receive flexible time off, federal holidays, Thanksgiving leave, Christmas and New Year’s leave, and paid parental leave.
  • Company-paid medical, dental, and vision premiums, plus an HSA, life insurance, and disability insurance.
  • 401(k) retirement plan, company stock options, and a home office budget.
  • Reimbursement for approved training, subscriptions, and conference participation.

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