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?
HR interview – a friendly chat to get to know you, your motivations, and tell you more about Tuotempo, our culture, and the team.
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.
Functional interview —a conversation with our Product Managers to understand how you collaborate cross‐functionally and to align on the AI product domain.
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