LLM Engineer

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September 30

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DocPlanner

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Healthcare Insurance • SaaS • B2C

DocPlanner is a global healthcare platform dedicated to improving the patient experience by helping them find the perfect doctor and book appointments easily. By creating an enjoyable patient journey, DocPlanner assists patients in accessing the best care possible anytime and anywhere. The company also offers doctors an integrated end-to-end solution to help manage their practices and improve their online reputation, allowing them to focus more on their patients. With a presence in 13 countries, including Poland, Brazil, and Spain, DocPlanner facilitates over 22 million appointments each month and hosts more than 90 million patient visits. It supports 260,000 active doctors, making it a leading healthcare platform with a strong international footprint.

1001 - 5000 employees

Founded 2012

⚕️ Healthcare Insurance

☁️ SaaS

👥 B2C

📋 Description

• Join the global Machine Learning and Data Science unit and support a product area within Noa to deliver end-to-end LLM capabilities. • Work alongside machine learning scientists, engineers, and country-specific linguists; report to the Head of Machine Learning & Data Science. • Design, deploy and iterate over LLM services for text-based applications, identifying and eliminating performance bottlenecks. • Build small to medium-sized Python projects and collaborate on production code and deployments at scale (Kubernetes, AWS). • Assess platform engineering and LLMOps bottlenecks; research and design scalable prompt management strategies. • Research, architect, and deploy LLM-powered information retrieval solutions (e.g., RAG) for complex, multilingual environments. • Partner with the AI Platform team to refine LLMOps best practices, evolve frameworks, and establish scalable workflows. • Participate in rapid validation sprints with Product, then consolidate and scale proven capabilities, standardizing validation methods and engineering best practices.

🎯 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 development of custom metrics (accuracy, consistency, factuality, bias). • Proven ability to integrate, deploy, and optimize large language models in production-grade environments ensuring scalability and robust performance. • Strong knowledge in prompt engineering, agent-based workflows, and generation/manipulation of embeddings. • Experience with RAG (Retrieval-Augmented Generation), vector similarity search, and information retrieval methods. • Problem-solving mindset, adaptability, and ability to manage timelines and deliver under tight deadlines. • Curiosity and eagerness to collaborate with cross-functional teams.

🏖️ Benefits

• Share options plan after 6 months of working with us. • Remote or hybrid work model with hub in Warsaw. • Flexible working hours (fully flexible; usually only a couple of meetings weekly). • 20/26 days of paid time off (depending on contract). • Additional paid day off on your birthday or work anniversary. • Private healthcare plan with Signal Iduna for you and subsidized for your family. • Multisport card co-financing. • Access to iFeel platform for mental wellness (online psychological support and counseling). • Free English classes. • True flexibility and work-life balance.