Senior Product Engineer - Finance Domain - Factorial Hr

Factorial Hr
Barcelona, Spain
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Cloud Computing Code Generation Ruby on Rails Software Engineering Systems Integration ReactJS Large Language Models Multi-Agent Systems AI Platforms

Job description

Overview In this role you will help build and scale Factorial’s AI-driven Finance domain, transforming how invoices, payments, and analytics are handled.You’ll own end-to-end impact, from problem definition to measuring real outcomes, not just coding.You’ll contribute to an AI platform that automates core finance workflows and supports cross-functional teams.This is a fast-moving, hands-on role focused on delivering tangible value through probabilistic, AI-enabled features.Compensaciones / Beneficios Alan private health insurance Wellhub gym access Cobee expense management Language classes Breakfast in the office and organic fruit Food discounts with Nora Responsabilidades Design system architectures for multi-agent AI features Write high-level prompts to guide multi-agent code generation Review and validate AI-generated outputs for security, scalability, and structure Orchestrate parallel AI agents to ensure coherent feature outputs Define workflows and experiment with new approaches; share findings with theteam Assist in transitioning teammates from deterministic to probabilistic thinking Requisitos principales 4+ years in software engineering Experience shipping AI-powered features with production evaluation Comfort reviewing agentic workflows and understanding LLM tradeoffs Ability to break down non-deterministic outputs for the team to reason about Proficiency in Ruby on Rails and React; experience integrating AI models into cloud-native environments Ability to explain complex technical decisions in clear English Owns end-to-end AI feature lifecycle: build, deploy, measure, adjust Collaborative mindset Problem-solving and curiosity Clear communicator who can explain complex ideas to non-engineers AI feature development and evaluation in production Agentic/workflow design with multi-agent systems LLM architecture tradeoffs

Requirements

Compensaciones / Beneficios Alan private health insurance Wellhub gym access Cobee expense management Language classes Breakfast in the office and organic fruit Food discounts with Nora Responsabilidades Design system architectures for multi-agent AI features Write high-level prompts to guide multi-agent code generation Review and validate AI-generated outputs for security, scalability, and structure Orchestrate parallel AI agents to ensure coherent feature outputs Define workflows and experiment with new approaches; share findings with theteam Assist in transitioning teammates from deterministic to probabilistic thinking Requisitos principales 4+ years in software engineering Experience shipping AI-powered features with production evaluation Comfort reviewing agentic workflows and understanding LLM tradeoffs Ability to break down non-deterministic outputs for the team to reason about Proficiency in Ruby on Rails and React; experience integrating AI models into cloud-native environments Ability to explain complex technical decisions in clear English Owns end-to-end AI feature lifecycle: build, deploy, measure, adjust Collaborative mindset Problem-solving and curiosity Clear communicator who can explain complex ideas to non-engineers AI feature development and evaluation in production Agentic/workflow design with multi-agent systems LLM architecture tradeoffs

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