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LLM Engineer

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DocPlanner GmbH

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Location:
Spain , Barcelona

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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 ever-growing 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.

Job Responsibility:

  • 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

Requirements:

  • 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
What we offer:
  • 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
  • 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)
  • 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
  • Free English classes

Additional Information:

Job Posted:
December 26, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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