AI Engineer I, II, III

This is a fully remote position, open to applicants in California, +8 more states.

📋 Description

• Develop and sustain shared tools and capabilities for agents.

• Configure Microsoft Foundry prompt agents, which includes setting up instructions, selecting models, assigning tools, managing permissions, and establishing guardrails.

• Tailor and enhance tools when shared functionalities do not meet an agent's requirements.

• Collaborate with AI Specialists and domain experts to test agents using real-world scenarios.

• Mentor colleagues on prompt design and assessment.

• Deploy agents and oversee the fleet via the Foundry control plane, which encompasses evaluations, monitoring, alerts, audit trails, and cost management.

• Optimize production agents while detecting deployment drift, identifying guardrail needs, improving data, or adjusting scope.

• Create pro-code hosted agents or specialized tools when prompt agents lack reliability.

• Ensure agents adhere to security and identity standards.

• Contribute to the development of Agent Factory standards and disseminate insights.

• Keep up-to-date with models, agent frameworks, and features of Microsoft Foundry.

⛳️ Requirements

• A bachelor's degree in a technical field (computer science, engineering, information systems, or a related area), or an equivalent combination of education and experience.

• Over 3 years of professional experience in software engineering, data engineering, or AI/ML roles.

• Practical experience in developing LLM-based agents or applications, covering prompt design, tool invocation, retrieval, and evaluating outputs against real-world cases.

• Strong software engineering principles in Python, including git, code reviews, testing, and working with APIs.

• Experience with Microsoft Azure or a similar cloud platform, focusing on identity, permissions, and secrets management.

• Proficiency in navigating enterprise systems and data, including SQL, and integrating with platforms like Salesforce and Databricks.

• Ability to discern when coding is suitable versus when a thoughtfully crafted prompt and tools are more straightforward and equally effective.

• Capacity to communicate technical trade-offs to business partners and guide non-engineers in testing and fine-tuning agents.

• Preferred: Experience with Microsoft Foundry (Azure AI Foundry), including prompt agents, hosted agents, tools, evaluations, and the control plane.

• Preferred: Familiarity with agent frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Semantic Kernel, or similar.

• Preferred: Knowledge of Salesforce configuration, security model, and Flow, along with the Databricks ecosystem, including Unity Catalog and Databricks SQL.

• Preferred: Experience in operating AI in production, covering monitoring, evaluation tools, cost tracking, PII handling, guardrails, and human-in-the-loop reviews.

🏝️ Benefits

• Transparent leadership with opportunities for collaboration alongside leaders.

• Connected impact through work that influences vital business decisions and adds value across operations.

• Supported growth via cross-functional collaboration, development opportunities, and career progression.

• Remote work flexibility (subject to state exclusions and relocation).