Developer – Conversational AI Product (AI-First)

Role Summary

We are building an AI-first, conversational product. We are in an early stage (6 months) and we want to incorporate a developer with a product vision, who shares that technical decisions directly impact experience, scalability and business model.

We are looking for a Developer with architectural vision and a product mentality.

We hope you can

• Design solutions before implementing them
• Make technical decisions with judgment
• Evaluate trade-offs (speed vs quality, simplicity vs scalability)
• Actively participate in product evolution

You're going to have real influence on how it's built.

This role is ideal for someone who wants

• Have real impact
• make decisions
• Build something from a solid foundation
• Work with real applied AI, not as an isolated feature

Responsibilities

• Design and develop core functionalities of the product
• Define architecture and technical standards together with the team
• Build robust and scalable conversational (text/voice) experiences
• Integrate LLMs, agents and AI-first flows with a focus on quality and performance
• Evaluate costs, latency and scalability in AI environments
• Participate in product decisions with the PO
• Raise the technical level of the team with criteria and good practices
• Propose constant improvements in architecture, experience and processes
• stack
• Backend: Python
• Frontend: Next.js
• Infrastructure: AWS
• Product: Web + Mobile + Conversational
• IA: LLMs, agents, flow orchestration
• We are not looking for someone who has “tried AI.”

We are looking for someone who understands how to design systems around AI.

• Profile we are looking for
• Real experience designing systems in production
• Ability to think about architecture, not just features
• High autonomy (we do not need constant supervision)
• Product mentality: understand business impact
• Ability to work in ambiguity without getting blocked
• Ability to work as a team, especially during discussions of technical definitions
• Clear and direct communication
• Solid technical criteria
• What really adds up
• Having built products from scratch or in early-stage stages
• Experience integrating LLM APIs into production
• Experience evaluating performance, costs and scalability in AWS
• Fluent English