AI Engineer / 1
Core
Design and maintain AI agents and agentic workflows to support engineering teams in development and test automation activities.
Role type
AI Engineer (Agentic Workflows & Test Automation)
Builds
AI-powered solutions for engineering workflows, specifically test automation and code generation tools.
Domain
Software Engineering / AI / Test Automation
Deliverable
production ML models
Required skills
LLM-based agent design, agentic workflow orchestration, evaluation frameworks, AI guardrails, TypeScript/JavaScript, test automation principles, software development lifecycle
Preferred skills
BDD testing frameworks, multi-agent orchestration, code graph analysis, OpenAPI/Swagger code generation, CI/CD pipelines (Jenkins), SBOM generation (CycloneDX)
Technologies
OpenCode, Claude, Cursor, GitHub Copilot, TypeScript, JavaScript, Jenkins, CycloneDX
Responsibilities
Design and develop AI agents and subagents for engineering workflows; Build and orchestrate multi-stage agent workflows; Develop reusable capabilities for agentic tooling; Build and maintain evaluation frameworks to measure agent quality; Design and implement guardrails and AI autonomy policies; Collaborate with QA/SDET teams to understand testing practices; Support AI-assisted software development and test automation use cases; Iteratively improve AI solutions based on measurable results.
Seniority
Mid-Senior, hands-on IC
