MEDICAL SCIENCE LIAISON • BRAIN HEALTH Medical Affairs • Madrid • Híbrido

Quanta part of QCS Staffing; Cárcer; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Lead LLM Engineer, where you'll integrate cutting-edge AI into healthcare delivery. In this all-remote role, you'll collaborate with Product and Engineering teams to design and implement LLM-powered features. You'll be responsible for building evaluation pipelines, ensuring compliance with healthcare regulations, and managing a talented team of engineers. If you have a strong academic background in Machine Learning and a passion for innovation, this is your chance to make a significant impact in the healthcare sector while working with state-of-the-art technology.

Formación

• Expertise in LLM architectures and evaluation metrics is essential.
• Experience with model fine-tuning and RAG systems is a plus.

Responsabilidades

• Lead the architecture and implementation of LLM-powered services.
• Build robust model evaluation pipelines for LLM outputs.

Conocimientos

LLM architectures

Fine-tuning principles

Agentic system design

Software engineering best practices

Problem-solving skills

Communication skills

Educación

Academic background in Machine Learning or NLP

Herramientas

LangGraph

LangChain

LlamaIndex

Amazon Bedrock

Descripción del empleo

As the Lead Engineer, directing our LLM Services team, you’ll be at the forefront of integrating AI into healthcare delivery. You will work closely with Product and Engineering leadership to co-design, architect and integrate LLM-powered services to our core product. You will lead the architecture and implementation of these services, alongside the LLM Services team, which you will also be responsible for assembling and managing. Specifically, you will:

• Work closely with colleagues across Product and Engineering, in participating in and, subsequently overseeing the architecture and implementation of LLM-powered features and their accompanying services.
• Build robust model evaluation pipelines to measure and improve LLM output safety, quality and consistency.
• Work on prompt engineering, chain-of-thought / prompt chaining, tool-use / function-calling (agentic) implementations.
• Ensure compliance with healthcare regulations while working with LLM outputs.
• Hire members for and manage the LLM team.

Requirements

• Expert knowledge in LLM architectures, fine-tuning principles and methods, agentic system design and LLM evaluation metrics.
• Familiarity with streaming architectures for real-time LLM responses.
• Strong grasp of software engineering best practices, including testing, documentation, and version control.
• Excellent problem-solving skills and attention to detail.
• Strong written and verbal communication skills.

You'd Be a Great Fit If You Have

• Strong academic background related to Machine Learning, NLP, or related fields.
• Passion for entrepreneurship and innovation, manifested through building products utilizing state-of-the-art technology.
• Experience with model fine-tuning and/or implementing RAG (Retrieval Augmented Generation) systems in production.
• Experience with LLM frameworks such as LangGraph, LangChain, LlamaIndex, or similar orchestration tools.
• Familiarity with different LLM providers (OpenAI, Anthropic, etc.) and their APIs.
• Familiarity with the use of Open LLMs, either self-hosted or through a third-party provider, e.g. Amazon Bedrock.
• Knowledge of LLM output validation and safety measures.
• Experience with embeddings and semantic search implementations.
• Experience in managing small teams of self-driven engineers, working in an inclusive, distributed environment.
• Knowledge of healthcare data privacy regulations and security best practices.

Location & Work Style

• All-remote position.
• Occasional late meetings to collaborate with US-based team members.

Summary

Remote job title: Lead LLM Engineer

Job tags: python, llm, machine learning, healthcare, ai