Software Engineer

Taizen; Valladolid; Presencial; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

Taizen busca un ingeniero de software para construir la capa de ejecución AI que permita a los agentes hacer el trabajo, no solo responder preguntas. El equipo se centra en integrar con Gong, Salesforce, HubSpot y Slack, con presencia en Barcelona al menos 4 días a la semana.

Salario de 40k–65k € más equity, en una empresa en crecimiento y con infraestructura SOC2/ISO. El puesto requiere experiencia en desarrollo productivo, dominio de TS/React y Python/Node, y capacidad para aportar

Formación

• Licenciatura en CS o equivalente (4+ años de experiencia en software de producción).
• Dominio de TS/React y Python/Node; capacidad de aprender rápido.
• Experiencia en CI/CD, monitorización y observabilidad.
• Capacidad de trabajar en equipo pequeño y con alta autonomía.

Responsabilidades

• Enviar características de extremo a extremo desde el problema del cliente hasta diseño y despliegue.
• Construir servicios back-end confiables y flujos de trabajo para los agentes.
• Crear interfaces de producto en la web y en Slack.
• Trabajar con modelos de datos e infraestructuras para lecturas/escrituras rápidas.
• Encargarse de calidad: pruebas, monitorización, observabilidad e respuesta a incidentes.
• Mantener pipeline de entrega sano: CI/CD, despliegues e higiene de infra.

Conocimientos

TypeScript

React

Python

Node.js

CS fundamentals

Problem solving

CI/CD

Observability

Educación

CS degree/ equivalente

Herramientas

PostgreSQL

MongoDB

Rust

Descripción del empleo

Software Engineer Taizen valladolid, castilla león, Spain

Descripción del trabajo

Join us as a Software Engineer to build the AI execution layer where go-to-market agents do the work, not just answer questions. Taizen builds purpose-built AI agents for Product Marketing, Sales Enablement, and Revenue teams. Our AI agents connect to tools like Gong, Salesforce, HubSpot, and Slack, then proactively run recurring workflows without waiting to be prompted. Barcelona, in-person at least 4 days/week. At our size, being in the room means youre next to the founders, the technical team and the roadmap. €40k-€65k + equity. Why take the bet Were early-stage, so the risk is real: timelines move, and equity is worth what the company becomes, not what its valued at today. Heres why we think its worth it. Were two ex-Spotify engineers whove shipped and scaled software used by millions, funded, and building with real customers every week. We move fast and we break things, but we also run SOC2 and ISO 27001-compliant infrastructure, a combination you wont find in most pre-seed teams. Theres also a shift worth betting on. Agents can write boilerplate and wire up endpoints faster than any human now. What they cant do is untangle a vague problem, design a data model that holds up under real usage, or debug something failing in a way nobody expected. Thats what were hiring for. After a few years in the job, the thing that sets you apart isnt how fast you type, its your judgment, and thats exactly what this role leans on.

What we do

• Competitive intelligence: Monitor competitor activity and calls, then deliver reports, updated battlecards, and rep talk tracks automatically
• Deal and account intelligence: Show sales leaders where deals are advancing or stalling, while helping BDRs research territories and identify the right accounts to bring into pipeline
• AI roleplay: Let reps practise against voice-based AI buyers grounded in real deals, objections, and battlecard content
• AI Win/loss interviews: Interview buyers after a deal and turn the conversations into structured insights without someone scheduling every call

The Stack

• Frontend: React
• Backend: two services, a Node/TypeScript core and a Python agent service
• Retrieval: our own vector store written in Rust, SOTA late-interaction retrieval
• Data: Postgres + MongoDB
• Agents: our own harness, not an off-the-shelf framework, and model-agnostic ML: a mix of our own and open-source models; Modal for GPU work
• Infra: AWS (RDS, EC2, CloudFront, S3, ECR, ECS, ElastiCache, Lambda), MongoDB Atlas, Grafana + Prometheus, GitHub Actions

What youll do

• Ship features end-to-end, from customer problem to design, deployment, and iteration - architecture decisions included
• Build reliable backend services and workflows behind the agents
• Build product surfaces across the web app and Slack
• Work on data models and infrastructure that handle very different data types, tuned for fast reads and writes
• Own quality: testing, monitoring, observability, and incident response
• Keep the delivery pipeline healthy: CI/CD, deployments, and infrastructure hygiene

What were looking for

• CS degree, Bachelors or Masters, or equivalent 4+ years shipping production software on a product team where youve owned something.
• Side projects are a bonus and can compensate for lack of experience
• Strong problem-solving and solid CS fundamentals, which matter to us more than your framework list or years on the clock
• Comfortable with TypeScript/React and Python/Node, or quick to pick them up
• Some hands‑on time with CI/CD, deployments, and observability, and up for owning more here
• High agency and happy working on a small, cross-functional team

Nice to haves

• Shipped features with LLM or AI components
• Curious about information retrieval or distributed systems - a bonus, not a requirement
• Built integrations with third-party APIs
• Pick up new tools and languages fast

Why youll like it here

• We are growing fast
• You get to choose your own machine and peripherals
• Almost unlimited token budget
• Real architecture ownership you wouldnt touch for years at a bigger company
• A new kind of product: AI-native and agent-powered, not a chatbot wrapper
• We work hard and celebrate the wins, small and big
• Offsites a few times a year to work and play together