AI/ML Engineer

Posted 12 Days Ago
Be an Early Applicant
Hiring Remotely in Barcelona, Cataluña
In-Office or Remote
Junior
Healthtech • Information Technology • Software
The Role
The AI/ML Engineer will drive advancements in conversational AI by improving LLM capabilities, developing prompt strategies, integrating systems, and conducting research on AI innovations.
Summary Generated by Built In
Company Description

We transform healthcare experiences through intelligent digital solutions.

Tuotempo is the trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. Our innovative CRM system liberates medical professionals from administrative burdens so they can focus on their true passion: delivering exceptional patient care.

Our cloud-based platform seamlessly orchestrates the entire patient journey—from initial appointment booking through omnichannel appointment management and extending to comprehensive follow-up care. The result? Streamlined operations for providers and a frictionless experience for patients.

Discover how we're reshaping healthcare delivery at tuotempo.com 👀

🏠 Embrace flexibility with our remote-first culture: Work entirely remotely from Italy or Spain, or collaborate in-person at our vibrant hubs in Bologna or Barcelona—we believe in empowering you to work where you thrive!

Job Description

We are looking for an innovative AI/LLM Engineer to drive the advancement of our conversational AI capabilities. You'll join our Tech&Product team as an AI/LLM Engineer, focusing on prompt engineering, multi-agent orchestration, automated testing, and deploying integrations in production with LLM systems. You'll work closely with Backend Engineers to deliver world-class AI experiences to end users.

What will you do?

Core Development

  • Design, optimize, and version prompts for production voice and chat LLM applications
  • Architect and orchestrate multi-agent systems for complex conversations
  • Build automated testing and validation frameworks for LLM outputs
  • Implement prompt versioning, storage, and retrieval systems

System Integration & Deployment

  • Collaborate with Backend Engineers to deploy and scale LLM-based systems
  • Integrate LLMs with communication APIs (Twilio, WhatsApp, ElevenLabs)
  • Implement RAG (Retrieval-Augmented Generation) solutions and vector search for multilingual environments
  • Monitor performance metrics and conversation quality

Research & Innovation

  • Research and prototype multi-agent frameworks (open-source and commercial)
  • Experiment with cutting-edge conversational AI and real-time speech processing techniques
  • Contribute to evolving the team's LLMOps best practices
  • Continuously improve conversational quality, RAG pipelines, and reduce latency

Qualifications

Must have

  • 2+ years hands-on experience with LLMs (OpenAI or similar, open-source models)
  • Strong knowledge in prompt engineering and LLM optimization strategies
  • Experience in evaluating LLMs, designing and running evaluation frameworks, creating test datasets, and defining success metrics
  • Familiarity with automated testing pipelines, building CI/CD-integrated eval systems that run on every prompt change
  • Experience in multi-agent architecture, from design to development of orchestration of complex LLM systems
  • Good understanding of transformer architectures and proficiency in LLM frameworks such as LangChain, LlamaIndex, or similar frameworks
  • Proficiency in Python
  • Experience with RAG pipelines and vector databases
  • Experience in cross-functional teams, ability to work in fast-moving environments where you own outcomes, not just tasks. You're comfortable with ambiguity and excited by the challenge of figuring things out.

Nice to have

  • Experience in healthcare industries
  • LLM integration with voice platforms (Twilio, ElevenLabs)
  • Background in conversational AI, chatbots, voice assistants
  • Knowledge of real-time speech processing and multi-modal systems
  • Functional programming principles and advanced NLP
  • Exposure to OOP stacks (.NET, PHP)
  • Understanding of security and privacy in conversational AI

Additional Information

✨ What we offer:

We value a healthy work-life balance and long-term growth. Benefits vary by location, but here’s what you can expect:

Shared benefits

  • 🏡 100% remote work, with the option to join our offices in Bologna or Barcelona
  • 📈 Stock options plan after 6 months
  • 🎂 One extra day off for your birthday
  • 🌱 Access to iFeel – our mental wellbeing platform

Italy-specific

  • 🍽️ €8/day meal vouchers – lunch is covered if you're in the Bologna office
  • 🩺 Private health coverage via Metasalute

 Spain-specific

  • ❤️ Comprehensive private health insurance with Adeslas
  • 💳 Flexoh – flexible compensation platform
  • 💪 Wellhub – gym & wellness network membership
  • 🌍 Language courses

🤝  How does the recruitment process work?

  1. HR interview – a friendly chat to get to know you, your motivations, and tell you more about Tuotempo, our culture, and the team.
  2. Technical interview – a deep-dive with our Tech Managers, including practical discussions or small exercises focused on LLMs, multi-agent systems, prompt design, and evaluation workflows.
  3. Functional interview — a conversation with our Product Managers to understand how you collaborate cross-functionally and to align on the AI product domain.

Top Skills

Elevenlabs
Langchain
Llamaindex
Openai
Python
Twilio
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The Company
Warsaw
2,798 Employees

What We Do

With a global mission to “make the healthcare experience more human”, Docplanner creates digital apps and software solutions for doctors, clinics, hospitals and patients to enable the healthcare ecosystem and the patient journey to work together more seamlessly

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