20 часов назад
Lead AI Engineer (AI)
125 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead AI Engineer (Python/MCP): Building production AI workflow infrastructure, enterprise integrations, and orchestration systems that enable non-engineers to create and operate automated workflows with an accent on security, governance, and bidirectional system integrations. Focus on designing multi-step agent workflows, operationalizing LLMs, building CI/CD and infrastructure-as-code practices, and monitoring production behavior.
Location: Minneapolis, United States; frequent paid travel to the Minneapolis headquarters for company and team events and in-person collaboration.
Salary: $125,000–$175,000 annual compensation, inclusive of a 25% bonus.
Company
is an independent full-funnel media, measurement, and creative firm developing the EMRge marketing technology platform.
What you will do
- Own the AI workflow infrastructure from initial architecture through production operation.
- Build reusable infrastructure patterns, guardrails, abstraction layers, and integrations that allow non-engineers to create workflows independently.
- Design multi-step orchestration and bidirectional write-back integrations connecting AI systems with project management, communications, analytics, and operational platforms.
- Establish security, governance, access control, credential management, audit logging, and least-privilege standards in partnership with IT and security.
- Build CI/CD pipelines, infrastructure-as-code practices, technical review processes, and post-deployment monitoring for agents and automated workflows.
- Translate stakeholder requirements into technical specifications, explain feasibility and tradeoffs, and document architecture decisions.
Requirements
- 8+ years of experience in software engineering, platform engineering, or applied technical roles.
- Production experience designing AI-powered workflow systems, integration platforms, or agent-based automation.
- Strong Python and SQL skills, with experience building production platform or data services.
- Experience building enterprise-scale API integrations, connector frameworks, workflow automation, and bidirectional write-back systems.
- Hands-on experience with AWS, GCP, or Azure and with MCP or equivalent agent orchestration frameworks.
- Production experience with large language models, security operationalization, and platforms used by non-engineering stakeholders.
Nice to have
- Experience with Databricks, Claude Enterprise, or the Anthropic API.
- Experience operating AI systems in governed or compliance-sensitive environments.
- Experience building multi-step or multi-agent workflows in production.
- Experience integrating project management, analytics, or communications platforms.
- Background in marketing analytics, media, or professional services.
Culture & Benefits
- Trust-based, transparent, inclusive, and collaborative work environment.
- Access to office spaces in Minneapolis, New York City, and Chicago.
- Generous paid vacation, sabbatical program, and paid company and team travel.
- 401(k) matching, health insurance, and family formation benefits.
- Mobile phone and data stipend, charitable giving match, and other company amenities.
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