4 дня назад
AI Engineer
80 000 - 125 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AI/LLMs): Designing, developing, and deploying AI-powered tools, agents, and intelligent workflows to improve operational efficiency and support data-driven decision-making with an accent on scalable enterprise integration, APIs, and cloud-based AI services. Focus on building production AI agents, establishing prompt engineering and governance practices, and creating interfaces and dashboards for technical and non-technical users.
Location: Hybrid in Westminster or Centennial, Colorado, with flexibility for remote work as approved; occasional support for field teams and job sites and minimal travel.
Salary: $80,000–$125,000 USD annually.
Company
is a U.S. construction lifecycle partner providing electrical, mechanical, structural, inspection, underground maintenance, installation, and fabrication services.
What you will do
- Design, develop, and deploy AI-powered tools, applications, agents, and intelligent workflows for operational improvement.
- Partner with operations, IT, and business stakeholders to identify automation opportunities and translate business challenges into scalable AI solutions.
- Build and integrate AI systems using APIs, large language models, cloud-based AI services, and enterprise technologies.
- Establish prompt engineering, validation, governance, monitoring, security, and responsible AI practices.
- Create user-friendly interfaces, dashboards, and tools that support adoption across technical and non-technical teams.
- Evaluate emerging AI technologies and contribute to AI strategy, architecture, and the innovation roadmap.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- At least 5 years of experience in software engineering, data engineering, data science, or a related technical discipline, including 3+ years of hands-on AI/ML development.
- At least 2 years of experience building and deploying AI agents, agentic workflows, or autonomous AI solutions in production.
- Experience designing and deploying solutions with modern AI platforms, LLMs, APIs, and cloud AI services such as Azure AI Services, OpenAI, AWS AI/ML, or Google Vertex AI.
- Ability to gather business requirements, architect scalable solutions, and integrate AI technologies into enterprise environments.
- Unrestricted U.S. work authorization is required; visa sponsorship is not currently available.
Nice to have
- Experience with prompt engineering, retrieval-augmented generation, vector databases, or AI orchestration frameworks.
- Experience with Microsoft Power Automate, Zapier, Make, or similar workflow automation platforms.
- Knowledge of AI governance, data security, role-based access controls, and responsible AI practices.
- Experience leading cross-functional technology initiatives and driving adoption of emerging technologies.
Culture & Benefits
- Medical, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Paid time off and holiday pay.
- Life and disability insurance.
- Professional development, training opportunities, and an employee assistance program.
- Work guided by integrity, teamwork, excellence, urgency, and purpose.
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