7 дней назад
Software Engineer (AI)
144 600 - 198 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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