Real-Time AI Engineer — Remote & Barcelona, €100k

Stott and May Inc.

Barcelona

Remote

EUR 90,000 - 110,000

Full time

4 days ago
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Job summary

Stott and May Inc. is seeking an AI Engineer for a fully remote role based in Barcelona to own and evolve multi-agent, real-time AI services. You will design, build, and operate low-latency text and voice agents, applying advanced reasoning and RAG techniques in production environments.

You will lead multi-agent orchestration, implement planner-executor-critic patterns, and ensure observability, monitoring, and CI/CD gatekeeping to deliver high-quality systems.

Qualifications

  • 5+ years of experience in ML or backend engineering in production environments.
  • Deep expertise in Python, FastAPI, asyncio, and production observability.
  • Experience with low-latency text and/or voice systems (LiveKit, Pipecat, WebRTC, or similar).
  • Hands-on experience with LLM systems, agent patterns, and evaluation-driven workflows.
  • Prior startup experience.

Responsibilities

  • Design, build, and operate low-latency, real-time text and voice agent systems.
  • Implement multi-agent orchestration patterns (planner–executor–critic, routing, shared memory).
  • Apply advanced reasoning methods (ReAct, Chain-of-Thought, Tree-/Graph-of-Thoughts where appropriate).
  • Lead RAG engineering with strong grounding, evaluation, and observability.
  • Drive evaluation-based development with monitoring, tracing, and CI/CD gating.
  • Ship production-grade Python services using FastAPI under strict latency and quality requirements.

Skills

Python
FastAPI
asyncio
LLM systems
Production observability
Agent patterns
Startup experience
LiveKit/WebRTC

Tools

Docker
Kubernetes
Terraform
Postgres
Redis
OpenTelemetry
GCP

Job description

Stott and May Inc. is seeking an AI Engineer for a fully remote role based in Barcelona to own and evolve multi-agent, real-time AI services. You will design, build, and operate low-latency text and voice agents, applying advanced reasoning and RAG techniques in production environments.

You will lead multi-agent orchestration, implement planner-executor-critic patterns, and ensure observability, monitoring, and CI/CD gatekeeping to deliver high-quality systems.

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