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7 дней назад

Software Engineer (AI)

144 600 - 198 800$
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
Software Engineer (AI): Building enterprise AI applications, conversational agents, RAG platforms, and backend microservices for connected asset-lifecycle workflows with an accent on Python, LLM orchestration, MCP integrations, and production reliability. Focus on designing deterministic agent workflows, implementing evaluation and regression-testing systems, and maintaining observability, safety, accuracy, and low latency in high-stakes business functions.

Location: Westminster, Colorado, United States; in-office 4 days per week

Salary: $144,600–$198,800 per year

Company

hirify.global builds connected solutions that support planning, design, construction, transportation, and the broader asset lifecycle.

What you will do

  • Design and launch conversational agents, RAG platforms, and automated workflows for customer and enterprise operations.
  • Architect backend microservices and Model Context Protocol integrations with enterprise SaaS and data platforms.
  • Build deterministic tool workflows, agent collaboration models, and safe response behaviors for high-stakes business functions.
  • Implement evaluation-as-code, regression testing, and production observability for model accuracy, reliability, and latency.
  • Partner with product, platform, and security teams to identify automation opportunities and deliver scalable products.

Requirements

  • 7+ years of software engineering experience, focused on production backend or platform development.
  • Strong Python skills, including asynchronous programming, API development with FastAPI, Flask, or Django, and structured data modeling.
  • Hands-on experience with LLM applications, RAG pipelines, conversational systems, and tool-calling agents.
  • Experience with REST, OAuth 2.0, webhooks, and enterprise SaaS integrations.
  • Experience with CI/CD, Docker, GitHub Actions, Azure DevOps, and cloud deployments.
  • Availability to work in the Westminster office 4 days per week.

Nice to have

  • Experience with MCP, FastMCP, LangGraph, or CrewAI.
  • Experience with vector search engines, knowledge graphs, Salesforce, or Contentful.
  • Experience with LLM evaluation frameworks such as Ragas, DeepEval, promptfoo, or LangSmith, and AI security guardrails.

Culture & Benefits

  • Work on solutions intended to improve safety, sustainability, efficiency, and collaboration across real-world industries.
  • Collaborative and supportive environment with an emphasis on belonging and inclusive participation.
  • Medical, dental, vision, life, disability, time-off, and retirement plans.
  • Additional benefits may include tax-saving plans, paid parental leave, and an employee stock purchase plan.
  • Bonus eligibility is available for this position; commission eligibility is not.

Hiring process

  • Submit an online application through the posting.
  • Applications are accepted on an ongoing basis until the position is filled.

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