Product Engineer (AI Agents)

Responsibilities

• Build AI agents that solve real creator problems, not demos or abstractions.
• Translate ambiguous creative intent into structured, reliable agent behavior.
• Owning agent outcomes: success rate, correction loops, time-to-creation, creator satisfaction.
• Work closely with product and design to shape how users interact with agents, not just what models do.
• Design and implement agent workflows for tasks like: Story breakdown & episode planning, Shot sequencing & visual continuity, Character consistency across scenes, Iterative refinement via user feedback.
• Build agent systems that reason across context, memory, tools, and constraints.
• Balance autonomy vs control — knowing when agents should act, ask, or pause.
• Build agent orchestration layers using LLMs, tools, and internal services.
• Design memory, state, and execution models that scale across long creative sessions.
• Integrate agents with Frameo’s core systems: assets, timelines, styles, characters.
• Ensure reliability, debugability, and cost awareness in production.
• Write production-grade code across backend and agent logic (Python / TypeScript).
• Own features end-to-end — from design doc to rollout to iteration.
• Instrument agents with observability: logs, traces, failure modes, success signals.
• Iterate fast based on real creator behavior, not theoretical correctness.

Requirements

• 2–7 years of experience as a Product Engineer / Full-Stack Engineer.
• Strong fundamentals in building end-to-end product systems.
• Hands-on experience working with LLMs, agents, or tool-calling systems in production.
• Comfort working across: Backend services & APIs, Agent orchestration / workflows, Prompting, evaluation, and iteration.
• Strong product sense — you care about what users experience, not just model outputs.
• Ability to operate in ambiguity and turn messy problems into shipped systems.
• Clear communication and structured thinking.

Bonus Points

• Experience building agentic systems (LangGraph, custom orchestrators, tool routers, etc.).
• Familiarity with creative tools, editors, or complex UX workflows.
• Experience designing human-in-the-loop systems.
• Understanding of cost/latency trade-offs in LLM-powered products.
• You care about storytelling, comics, animation, or creative expression.