Area of Work
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.
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.
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
Compensation structure
True flexibility and work-life balance
Health comes first
Keep growing with us
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
DOCTORALIA es la plataforma líder en México que conecta Especialistas de Salud con Pacientes a través de nuestra página web y aplicaciones. Somos una empresa que a través de la venta de un Software brindamos soluciones tecnológicas para digitalizar el sector salud y hacer la experiencia de la salud mas humana!
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