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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$149к-201к/год
$140к$160кмедиана$200к
По похожим ролям (50) ~ $160к/год
На СНГ рынке: $3к/мес ($1.8к - $4к)
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Сильная вакансия
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Чёткий фокус на разработке агентных AI-систем, актуальные технологии и конкретные льготы делают вакансию привлекательной, но действующий допуск и регулярная работа на объекте заметно сужают круг тех, кому она подойдёт.
Нужен допуск
Работа на объекте
Актуальный AI-стек
Чёткая зона задач
Сильный пакет льгот
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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