Software Development Engineer (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Boulder, Colorado, United States; Vancouver, British Columbia, Canada. Flex Work requires spending at least 50% of each quarter in the office or in the field with customers, prospects, and partners, depending on the role.
Annual base salary: $130,400–$195,600 USD for the primary Boulder location; $123,900–$222,000 USD for additional US locations. The role may also be eligible for a bonus or commission and annual refresh stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and enterprise workflows.
What you will do
- Build and maintain services and tooling for AI agent deployment, testing, and lifecycle management within CI/CD pipelines.
- Develop workflow coordination, state management, tool integration, and multi-step processing systems.
- Write maintainable Python code for platform capabilities and APIs.
- Deploy and operate services on Kubernetes with a focus on reliability and scalability.
- Improve observability through logging, tracing, monitoring, and debugging of distributed workflows.
- Collaborate with engineers, product managers, and AI teams on production-ready infrastructure and contribute to architecture decisions.
Requirements
- 3+ years of software development experience building backend systems or services.
- Strong proficiency in Python or similar languages such as Go or Java.
- Experience designing and building distributed systems and scalable services.
- Experience running and operating services in Kubernetes-based environments.
- Familiarity with machine learning or LLM-powered applications and the challenges of deploying and operating them in production.
- Experience designing systems for reliability, scalability, observability, and maintainability.
- Strong understanding of APIs, asynchronous processing, and service-oriented architecture.
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Ability to navigate ambiguity, make sound technical decisions, and drive projects end-to-end, with strong collaboration and communication skills.
- Experience with platforms, infrastructure, developer tooling, workflow orchestration, monitoring, logging, observability tools, cloud platforms, and modern deployment practices including CI/CD.
- Experience with agent-based systems, workflow orchestration, or complex multi-step pipelines from an infrastructure or SDLC perspective.
- Familiarity with LLM application patterns including tool integration, retrieval-augmented generation, context and memory management, and multi-step workflows.
- Experience with observability stacks, tracing systems, and debugging distributed workflows.
- Familiarity with model serving, vector databases, or evaluation frameworks in an MLOps context.
- Experience mentoring engineers and contributing to technical direction.
Culture & Benefits
- Flexible work combines in-person collaboration with remote work.
- Remote home-office roles may come together in company offices for important events and moments.
- Benefits may include a Bonus Plan or role-specific commission/bonus and annual refresh stock grants.
- provides reasonable accommodations during the application process and is an equal opportunity employer.
Hiring process
- Recruiters can provide additional compensation details during the hiring process.
- The application deadline is November 13, 2026.
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