AI Systems Full-Stack Engineer: Build Proactive Workflows

ActAI; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

ActAI is seeking a Full Stack Engineer - AI Systems to build production-grade workflows, designing how agents operate, fail, recover, and deliver reliable value to users.

You will build end-to-end features across frontend, backend, and AI integrations, and design agent workflows that handle planning, tool use, failure, and recovery across multiple steps. Collaborate with ML, backend, and product teams to ship features with real-time AI interactions and low latency.

Formación

• Strong experience in full stack engineering (frontend + backend).
• Solid understanding of system design and API architecture.
• Experience with LLMs, RAG systems, or AI-powered applications.

Responsabilidades

• Build end-to-end product features across frontend, backend, and AI integrations.
• Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
• Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions.
• Design real-time AI interactions with streaming, partial results, and tight latency constraints.
• Improve system reliability, observability, and fallback mechanisms.
• Collaborate closely with ML, backend, and product teams to ship features end-to-end.
• Continuously iterate based on real usage and failure modes.

Conocimientos

Full stack engineering

API architecture

LLMs & AI apps

Ambiguity tolerance

Ownership

Fast-moving environments

Herramientas

Next.js

Python

Node.js

PyTorch

OpenAI/Anthropic LLMs

SQL

NoSQL

Docker

Descripción del empleo

ActAI is seeking a Full Stack Engineer - AI Systems to build production-grade workflows, designing how agents operate, fail, recover, and deliver reliable value to users.

You will build end-to-end features across frontend, backend, and AI integrations, and design agent workflows that handle planning, tool use, failure, and recovery across multiple steps. Collaborate with ML, backend, and product teams to ship features with real-time AI interactions and low latency.