CDI - Senior Product Engineer

This Senior Software Engineer, Product role builds self-serve systems for configuring, training, testing, and monitoring AI agents, turning complex capabilities into simple interfaces for CX teams. The engineer will own features end-to-end, from architecture to deployment, and integrate new text and voice models into production. Requires 4+ years of product engineering experience, strong Python skills, and comfort across the full stack.

This role focuses on designing and building agentic systems that power creative workflows for short-form video, helping shape how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. The engineer will build agents that can take creative actions on a user's behalf, experimenting with emerging models and techniques to bring these experiences to life in production, and will work across product, machine-learning, and systems engineering, owning meaningful problems end-to-end.

This role is a senior software engineering position focused on building and scaling an agent platform. The engineer will design and implement core platform services, APIs, and integrations that enable AI agents to operate effectively. Responsibilities include ensuring system reliability, performance, and security, as well as collaborating with product and AI teams to define platform requirements.

This senior engineering role is embedded with the Marketing team to build AI systems, data pipelines, and agents that automate marketing operations. The engineer will map current workflows, connect context from various tools, and build agents for performance and social channels, encoding brand and product marketing judgment into reusable systems. They will work on the shared Applied AI foundation and contribute back reusable patterns.

This role takes ownership of a well-defined stream or mission, building and deploying AI agents and solutions while coaching junior consultants. The senior builder designs engaging learning experiences, prototypes functional AI solutions (no-code, low-code, vibe coding), and drives adoption through office hours and train-the-trainer programs. Success is measured by real adoption, team autonomy, and tangible changes in daily work.

This role leads AI adoption missions and programs, driving AI from experimentation to business transformation. The manager defines upskilling programs, builds agents and AI solutions (no-code, low-code, vibe coding), and manages teams, budgets, and client relationships. Responsibilities include scoping with L&D/HR, overseeing solution development, and structuring change management with KPIs and dashboards.

This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.