AI Agent Engineer / Full Stack Experience (Python)

Orbio AI

Madrid

Presencial

EUR 65.000 - 90.000

Jornada completa

hace 8 horas
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Descripción de la vacante

Orbio is seeking an AI Agent Engineer to build, operate, and improve the reliability of agentic AI systems in production. You will focus on how agents behave, decide, fail, recover, and scale in real enterprise environments, ensuring observability, testing, cost-efficiency, and trust in LLM-powered workflows.

You will help build a production-grade B2B platform with a strong focus on LLMs, autonomous agents, and conversational AI, contributing to scalable foundations for diverse customers and use

Formación

  • Experience building reliable AI agent systems in production environments.
  • Strong background in LLMs, prompt strategies, and evaluation metrics.
  • Proficient in Python, asynchronous programming, and backend services.

Responsabilidades

  • Design and maintain agent evaluation pipelines for reliability.
  • Monitor observability, costs, and performance of AI agents at scale.
  • Develop and optimize LLM-powered workflows and integrations.
  • Collaborate on frontend and backend to deploy production-grade systems.
  • Implement guardrails and safe-degradation strategies for autonomy.

Conocimientos

Agent testing
Agent monitoring
LLM expertise
Python & backend
Conversational AI
Full-stack & DevOps

Herramientas

Django/Channels
Celery+Redis
Twilio
React
AWS/GCP

Descripción del empleo

Orbio is an AI-native human capital management platform building a Digital Workforce for HR.

We design and deploy agentic systems that take ownership of operational execution across hiring, onboarding, and employee operations — while keeping humans in control.

We work with large, complex organizations across staffing, retail, hospitality, and healthcare. Our customers rely on Orbio to reduce operational friction, improve speed and quality, and scale their teams without proportional headcount growth.

Orbio is not a system of record. We sit on top of existing HR systems and own the execution and coordination layer — where day-to-day work actually happens.

Position Overview

Orbio is an AI-native human capital management platform building a Digital Workforce for HR.

We design and deploy agentic systems that take ownership of operational execution across hiring, onboarding, and employee operations — while keeping humans in control.

We work with large, complex organizations across staffing, retail, hospitality, and healthcare. Our customers rely on Orbio to reduce operational friction, improve speed and quality, and scale their teams without proportional headcount growth.

Orbio is not a system of record. We sit on top of existing HR systems and own the execution and coordination layer — where day-to-day work actually happens.

Position Overview

Orbio is looking for an AI Agent Engineer to build, operate, and continuously improve the reliability of our agentic AI systems in production.

In this role, you will focus on how agents behave, decide, fail, recover, and scale in real enterprise environments. Your work will ensure that LLM-powered agents are observable, testable, cost-efficient, and trustworthy when handling real operational workflows.

You will help build an end-to-end, production-grade B2B platform with a strong focus on LLMs, autonomous agents, and conversational AI, contributing to the technical foundations that scale across customers and use cases.

All the desired Technical Skills we are looking for
Agent Testing & Evaluation
  • Building agent evaluation pipelines (consistency, accuracy, reliability)
  • Designing test harnesses for non-deterministic systems
  • Regression testing for prompt and model changes
  • Synthetic data generation for agent testing
  • Performance benchmarking and latency profiling
Agent Monitoring & Operations at Scale
  • Observability for agent systems (tracing, logging, metrics)
  • Cost tracking and optimization across model calls
  • Alerting on agent failures, hallucinations, and degraded performance
  • Debugging complex multi-step agent behaviors in production
  • Guardrails, safety layers, and graceful degradation strategies
LLM Expertise
  • Prompt engineering, chaining, and caching strategies
  • RAG pipelines and vector databases
  • Model selection, fine-tuning, and cost optimization
  • Understanding of evaluation metrics and benchmarks
Python & Backend
  • Async programming, Django/Channels, real-time ASGI
  • Production-grade application development
  • Message queues (Celery + Redis) and high-throughput systems
  • Testing, logging, and performance optimization
Conversational AI
  • Voice pipelines: STT, TTS, turn-taking, interruption handling
  • Telephony integration (Twilio) with latency optimization
  • Conversation flow design and fallback strategies
Full-Stack & DevOps
  • Frontend experience (React preferred)
  • CI/CD pipelines and cloud deployment (AWS/GCP)
  • Deploying and operating AI systems in production
What Success Looks Like at Orbio
  • Agents behave consistently and predictably across customers and workflows
  • Failures, edge cases, and degraded behavior are detectable and recoverable
  • Agent performance, latency, and cost are measurable and actively optimized
  • New agent capabilities ship safely without breaking existing behavior
  • Customer trust in autonomous workflows increases over time
Culture at Orbio

Orbio is a high-bar, high-intensity environment. We optimize for impact, speed, and ownership — not comfort.

We operate as one team, with a flat structure and extreme ownership. We ship fast, learn from production, and challenge each other directly because we care about building systems that hold up under real-world complexity. Titles matter less than outcomes. Customers come first. Momentum matters.

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