AI Agent Engineer

What You'll Do

• Design, build, and deploy enterprise-grade AI agents that support high-volume customer interactions across contact center and digital CX environments.
• Partner closely with CX, product, and client stakeholders to translate business and customer requirements into robust AI agent solutions.
• Build AI agents from the ground up, including conversation flows, knowledge retrieval, API integrations, and backend/frontend components.
• Test and validate agent behavior across a wide range of real-world scenarios, including edge cases and failure modes.
• Contribute to best practices around agent architecture, prompt design, testing, deployment, and versioning.

What You'll Bring

• 3+ years of hands-on software engineering experience, building and shipping production-grade systems.
• Prior experience in senior-level engineering roles, with the ability to work independently across the full development lifecycle.
• Strong communication skills, including the ability to tailor technical concepts for non-technical and executive audiences.
• Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
• Experience working in or with customer-facing products, ideally within contact centers, CX platforms, or enterprise SaaS.

Required Technical Skills

• Strong proficiency in React and TypeScript (intermediate to advanced).
• Experience building and integrating API-driven systems, including authentication, permissions, and data access.
• Solid understanding of Git and standard engineering workflows (branching, PRs, CI/CD).
• Comfortable working from the terminal and navigating modern developer tooling.
• Working knowledge of LLMs and prompt engineering fundamentals, including how to evaluate and iterate on model behavior.
• Ability to design, test, and deploy software using code-first workflows

AI Agent-Specific Experience

• Experience developing code-based conversational or autonomous AI agents.
• Familiarity with agent testing strategies, including simulations, scenario testing, and conversation evaluation.
• Understanding of how AI agents operate within customer support journeys, knowledge retrieval systems, and backend integrations.
• Exposure to contact center concepts such as intents, escalation paths, agent assist, deflection, and customer satisfaction metrics.
• Experience building or deploying conversational AI solutions using AI-Native or equivalent platforms.

How You'll Work

• Build agents programmatically using extensive coding workflows across development, testing, deployment, and version control.
• Collaborate with stakeholders to ensure agents meet functional, technical, and experiential requirements.
• Balance deep engineering execution with solution-oriented thinking, especially as platforms evolve toward more configurable and composable approaches.