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2 дня назад

Senior AI/ML Engineer (AI)

Формат работы
onsite
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/ML Engineer (AI): Building secure, enterprise-scale AI capabilities for cyber operations with an accent on LLM agents, RAG pipelines, model routing, and AI governance. Focus on integrating agentic workflows, benchmarking models, implementing MCP tool brokers, and translating research prototypes into production-grade mission capabilities.

Location: Fort Meade, Maryland, United States; on-site

Company

hirify.global supports national mission and cyber operations capabilities.

What you will do

  • Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools.
  • Design and integrate LLM and agent orchestration workflows using frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
  • Develop RAG pipelines, vector databases, memory services, and MCP-based integrations for secure access to enterprise tools and mission data.
  • Tune model gateway routing across frontier and open-weight models for cost, performance, and mission fit.
  • Build evaluation pipelines to benchmark model quality, safety, agent behavior, and performance over time.
  • Implement AI governance guardrails and document model and agent architectures for reuse.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or a related discipline with 8+ years of experience.
  • Advanced Python proficiency for AI/ML application development.
  • Production experience building or integrating LLM- or agent-based systems, including RAG, vector databases, and prompt/context engineering.
  • Active TS/SCI clearance with polygraph is required before starting.
  • Ability to manage competing priorities in fast-paced mission environments and escalate operational risks early.

Nice to have

  • Experience supporting mission environments.
  • Experience with NVIDIA NIM, vLLM, Ollama, LiteLLM, MCP, AI evaluation frameworks, model benchmarking, and AI observability.

Culture & Benefits

  • Values include being happy, helpful, honest, humble, hungry, and driven.
  • Emphasis on supportive collaboration, transparent communication, continuous improvement, and mission focus.

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