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6 часов назад

Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)

185 000 - 230 000$
Формат работы
remote (только USA)/hybrid/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 Machine Learning Engineer, Agentic Systems (Active Secret Clearance) (Machine Learning/Agentic AI): Building reliable machine learning solutions, LLM-powered agents, and agentic workflows for mission-critical government deployments with an accent on evaluation, safety, tool integration, and production performance. Focus on designing multi-agent architectures, integrating external APIs and enterprise data, and improving the reliability of AI systems in real-world environments.

Location: Remote within the United States, or hybrid/onsite at the northwest Austin, Texas office; travel up to 20% required

Base salary: $185,000–$230,000 per year

Company

hirify.global develops AI operations solutions that monitor model performance, manage drift, and sustain machine learning systems in real-world government use cases.

What you will do

  • Develop machine learning solutions for customer projects and enduring product capabilities.
  • Design and orchestrate data, agentic, and model workflows across models, agents, tools, and enterprise data.
  • Build and improve LLM-powered agents and agentic systems for reliable production use.
  • Evaluate agent performance, reliability, safety, and usability.
  • Collaborate with customers, data scientists, software engineers, and DevOps engineers to shape the Chariot AI operations platform.
  • Support mission-critical deployments and use field insights to guide platform improvements.

Requirements

  • Active Secret or higher US security clearance and US citizenship required.
  • BS degree in computer science, machine learning, or a related discipline, plus 6+ years of relevant experience.
  • Experience delivering data-centric production systems, including data engineering, cleaning, ETL, machine learning, or production analytics.
  • Experience designing, building, evaluating, and optimizing LLM-powered agents and agentic workflows.
  • Experience integrating AI systems with external tools, APIs, MCP servers, and enterprise data sources.
  • Strong Python skills and knowledge of machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, plus software engineering fundamentals and a systems programming language.

Nice to have

  • Advanced degree in data science, machine learning, computer science, or a related field.
  • Knowledge of client-server architectures, asynchronous programming, REST, GraphQL, or frontend frameworks.
  • Experience with Docker, Kubernetes, infrastructure as code, and cloud environments.
  • Experience with unstructured data, complex technical delivery, team leadership, or secure government environments.

Culture & Benefits

  • Trust-based culture with respectful, candid, and constructive communication.
  • Medical, dental, and vision insurance.
  • HSA, FSA, disability, life, accident, and hospital indemnity insurance options.
  • 401(k), equity grants, cash bonuses, unlimited PTO, and paid parental leave.

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