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24 часа назад

Forward Deployed AI Engineer (AI)

148 750 - 201 250$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Forward Deployed AI Engineer (AI/Python/TypeScript): Architecting and deploying agentic Generative AI systems and RAG pipelines for U.S. government defense software with an accent on secure, air-gapped, and tactical edge environments. Focus on designing scalable backend services, implementing context engineering, and leading technical delivery for strategic customers.

Location: Remote (Must be a U.S. Citizen)

Salary: $148,750 - $201,250 USD

Company

Veteran-founded mission-driven company transforming how the U.S. Department of War delivers secure software and AI solutions.

What you will do

  • Architect, build, and operate agentic GenAI systems, including APIs, ETL pipelines, and Retrieval Augmented Generation (RAG).
  • Deploy software across cloud, on-prem, and air-gapped tactical edge environments.
  • Partner with strategic customers as a technical lead, moving from problem discovery to full solution adoption.
  • Develop reusable tools, internal frameworks, and playbooks to accelerate future mission deployments.
  • Manage delivery roadmaps, set priorities, and remove technical blockers for customer stakeholders.
  • Collaborate with internal teams to translate field insights into continuous product improvements.

Requirements

  • U.S. Citizenship is strictly required.
  • 3+ years of backend or full-stack engineering experience, ideally in government or high-assurance contexts.
  • Proficiency in Python or TypeScript for developing production-grade code.
  • Strong familiarity with LLMs, generative AI systems, and context engineering.
  • Ability to translate complex technical details for non-technical stakeholders in a customer-facing role.
  • Clearance eligibility is required; an active security clearance is preferred.

Nice to have

  • Experience deploying Kubernetes applications inside air-gapped or secure environments.
  • Knowledge of information retrieval, including vector search, document parsing, and reranking.
  • Experience developing and maintaining LLM evaluations.
  • Experience with open-source models (Llama3, Mixtral, etc.) and inference frameworks.

Culture & Benefits

  • 100% company-paid Medical, Dental, and Vision premiums, including HSA.
  • Financial security with 401k retirement plan and company stock options.
  • Flexible Time Off (FTO) plus extensive federal holiday breaks (including Thanksgiving and Year-end).
  • Home office budget and reimbursement for approved trainings, subscriptions, and conferences.
  • Comprehensive support with Life and Disability Insurance.

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