LLM Engineer (100% remote-friendly within Spain)

Docplanner Tech; Barcelona; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A healthcare technology firm in Barcelona is seeking an LLM Engineer to join its Machine Learning team. The ideal candidate will collaborate with engineers and scientists to deliver LLM capabilities in a dynamic work environment that embraces flexibility. Responsibilities include designing LLM services, managing deployments at scale, and ensuring the integration of best practices. This role offers competitive compensation and a hybrid work model.

Servicios

Flexible remuneration and benefits

Private healthcare plan

Access to mental wellness support

Free English classes

Share options plan after 6 months

Formación

• At least one year of experience in LLM development in a tech environment.
• Expertise in production-grade LLM deployments.
• Good understanding of transformer architectures.
• Strong knowledge in prompt engineering.

Responsabilidades

• Work closely with teams to deliver LLM-driven initiatives.
• Design and deploy LLM services for text-based applications.
• Collaborate on production code and deployments at scale.
• Research and design scalable prompt management strategies.

Conocimientos

LLM development

API integration

Prompt management systems

Collaborative project development

Problem-solving skills

Herramientas

Python

LangChain

HuggingFace Transformers

Kubernetes

Descripción del empleo

Overview

You will join our global Machine Learning and Data Science unit — a core team of machine learning scientists (LLM, ASR), engineers and an expanding group of country-specific linguists. Your work will be embedded in the Noa product line used daily by doctors in Brazil, Mexico, Poland, Italy, Spain and Germany. Noa.ai ’s mission is to broaden access to top-quality healthcare, first by lifting administrative burdens from clinicians and soon, by assuming selected medical tasks. Our flagship product is Noa Notes, which records consultations, transcribes the audio and produces a structured draft of the medical record.

We operate cross-functionally, moving ideas from prototypes to full-scale production with state-of-the-art ML frameworks and modern MLOps practices. We begin with rapid validation sprints where engineers work side by side with Product on early experiments, then consolidate and scale proven capabilities, standardizing validation methods, engineering best practices, tools and lifecycles.

Role

As an LLM Engineer in the Noa ML team you will support a product area within our Noa organisation to deliver end-to-end LLM capabilities. You will work alongside other machine learning professionals at various seniority levels and report directly to the Head of Machine Learning & Data Science.

Backed by a strong engineering culture, we pair industry-leading LLM implementation rigor with pragmatic delivery, making smart trade-offs to ship value quickly and iterate fast. In this role, you\'ll work with exceptional engineers and other LLM researchers on some of Docplanner\'s most strategic initiatives, leveraging foundation models to push the boundaries of AI in healthcare.

Our tech stack includes Python, LangChain, HuggingFace Transformers, Vector Databases, FastAPI — among the others — running on Kubernetes in AWS.

What you will be doing

Work closely with cross-functional teams, including scientists, engineers, and product stakeholders, to deliver LLM-driven initiatives that directly contribute to business objectives.

Design, deploy and iterate over LLM services for text-based applications (and beyond), while proactively identifying and eliminating performance bottlenecks.

Build small to medium-sized Python projects and collaborate with engineers on production code and deployments at scale.

Assess platform engineering and LLMOps bottlenecks; research and design scalable prompt management strategies, and recommend solutions that balance performance, cost, and reliability.

Research, architect, and deploy LLM-powered information retrieval solutions (e.g., RAG) to deliver accurate results in complex, multilingual product environments.

Partner with the AI Platform team to refine LLMOps best practices, evolve frameworks, and establish efficient, scalable workflows.

Qualifications

You’re likely a great fit for this role if you

• At least one year of professional experience in LLM development or integration in a fast-paced, product-driven tech environment.
• Demonstrated expertise in production-grade LLM deployments, including prompt management systems, vector databases, semantic search implementation, and API integration with foundation models.
• Good understanding of transformer architectures and proficiency in LLM frameworks such as LangChain, LlamaIndex, or similar tools.
• Proficiency in Python
• Experience in collaborative project development.
• Appreciation for good engineering practices and maintainable code
• Proven experience in evaluating LLMs through systematic testing, benchmark design, and the development of custom metrics (e.g. accuracy, consistency, factuality, and bias), with a focus on aligning results to product and user needs.
• Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance.
• Strong knowledge in prompt engineering, agent-based workflows, and the generation and manipulation of embeddings.
• Experience with RAG (Retrieval-Augmented Generation) techniques, vector similarity search, and information retrieval methods to enhance LLM capabilities.
• Problem-solving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers.
• Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines.
• Curiosity and eagerness to collaborate with cross-functional team

Additional Information

Compensation structure

• A salary adequate to your experience and skills.
• Flexible remuneration and benefits system via Flexoh , which includes : restaurant card, transportation card, kindergarten, and training tax savings;
• Share options plan after 6 months of working with us.

True flexibility and work-life balance

• Remote or hybrid work model with our hub in Barcelona;
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
• Summer intensive schedule during July and August (work 7 hours, finish earlier);
• 23 paid holidays, with exchangeable local bank holidays;
• Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate).

Health comes first

• Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental);
• Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub;
• Access to iFeel , a technological platform for mental wellness offering online psychological support and counseling.

Keep growing with us

Language and inclusion

Free English classes.

We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, color, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other.

“We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO