AIML Engineer

Docplanner; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading healthcare technology company is seeking an AI/LLM Engineer to enhance their conversational AI capabilities. This role involves designing and optimizing LLM applications, collaborating with Backend Engineers for system deployment, and researching multi-agent frameworks. You should have a solid background in LLMs and Python, and thrive in fast-paced environments. Benefits include comprehensive health insurance, remote work options, and flexible compensation. This opportunity is ideal for innovative thinkers who enjoy challenges.

Servicios

100% remote work

Stock options after 6 months

Extra day off for your birthday

Mental wellbeing platform access

Comprehensive private health insurance

Wellness gym membership

Flexible compensation platform

Formación

• 2 years hands-on experience with LLMs.
• Strong knowledge in prompt engineering and optimisation strategies.
• Proficiency in Python and any LLM frameworks.
• Experience with multi-agent architecture.

Responsabilidades

• Design and optimise prompts for voice and chat LLM applications.
• Collaborate with Backend Engineers on LLM system deployment.
• Monitor performance metrics and conversation quality.
• Research and prototype multi-agent frameworks.

Conocimientos

Experience with LLMs (OpenAI or similar models)

Prompt engineering knowledge

Python proficiency

Familiarity with automated testing pipelines

Experience in multi-agent architecture

Knowledge of RAG pipelines and vector databases

Ability to work in fast-moving environments

Herramientas

LangChain

LlamaIndex

Descripción del empleo

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 you will do

Core Development

• Design, optimise 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 optimisation 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
• 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 € per 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 to 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.

Remote Work: Yes

Employment Type: Full‑time