> Markdown version of [/jobs/ext/3820731-ai-orchestration-specialist](https://www.wearedevelopers.com/jobs/ext/3820731-ai-orchestration-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Orchestration Specialist - **Company:** Nextek, Inc. - **Location:** Arden Hills, MN, United States (Remote available) - **Salary:** $60,000.0 - $80,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Databases, Continuous Integration, DevOps, Identity and Access Management, Key Management, Laravel, Management of Software Versions, Snowflake, Multi-Agent Systems, AI Platforms, Kubernetes, Information Technology, Data Management, Human in the Loop, Docker, Databricks - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=71f6eec990b0c8e0 ## About the Role * Hands-on AI orchestration experience and a portfolio of workflows you've shipped * Experience with orchestration frameworks like DSPy and bespoke models like JEV * Strong written and verbal communication * Sound judgment with confidential data * Education: STEM degree (physics, chemistry, math, computer science, engineering, biology, or similar). Equivalent demonstrated experience is considered. * You are: self-directed, a fast learner, comfortable with ambiguity, and someone who takes ownership and verifies before trusting Bonus Points * DevOps and production engineering: AWS or Azure (deployment, IAM, cost control), CI/CD, Docker/Kubernetes, infrastructure as code, monitoring, versioning, and rollback * Data platforms such as Databricks or Snowflake * Security experience: CrowdStrike or similar, secrets management, least-privilege access * Experience with open-weight models and multiple AI platforms * Laravel experience ## Description * Design multi-step and multi-agent workflows, deciding what the model, the code, and the humans each handle * Connect models to tools and data through APIs, tool calling, MCP, CRMs, email, and databases * Write prompts and reusable skills that produce consistent, dependable output * Build validation checks, understand how models fail, and keep a human in the loop where it matters * Turn vague business needs into precise, testable processes * Take workflows from prototype to secure, monitored production, and keep them running