Back
Metro-based mid-level AI role with niche agent expertise yields moderate applicant competition.
High domain sensitivity: requires production AI, agent frameworks, and cloud-native experience, limiting cross-industry fit.
Explicit 5+ years and 2+ years applied AI plus mandatory tech, cloud, and governance skills create stringent filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Evaluate and implement AI integration points and build tools/platforms for enterprise AI adoption including LLM orchestration and agentic workflows.
Design, develop, and maintain agentic AI systems and frameworks with responsibilities for quality assurance through automated evaluations and testing.
Define and apply AI governance standards for compliance and safety, and lead pilot projects to drive enterprise-wide AI solution adoption.
5+ years professional software engineering experience with at least 2 years in applied AI production systems.
Proficiency in Python and/or Go programming languages.
Experience building and scaling multi-agent or agent-driven AI systems with operational ownership.
Strong backend and systems architecture skills including cloud-native environments (GCP and/or AWS) and API integrations with secure authentication methods (OAuth2, SAML, API keys, RBAC).
Experienced in hands-on design and operation of complex multi-agent AI systems using modern agent frameworks and SDKs.
Demonstrates strong system design and cross-functional collaboration skills to deliver scalable, reliable enterprise AI solutions.
Capable of driving AI adoption in ambiguous contexts with a focus on operational impact, quality standards, and responsible AI governance.