AI/ML Engineer

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November 15

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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

• Design, optimize, and version prompts for production voice and chat LLM applications • Architect and orchestrate multi-agent systems for complex conversations • Build automated testing and validation frameworks for LLM outputs • Implement prompt versioning, storage, and retrieval systems • Collaborate with Backend Engineers to deploy and scale LLM-based systems • Integrate LLMs with communication APIs (Twilio, WhatsApp, ElevenLabs) • Implement RAG (Retrieval-Augmented Generation) solutions and vector search for multilingual environments • Monitor performance metrics and conversation quality • Research and prototype multi-agent frameworks (open-source and commercial) • Experiment with cutting-edge conversational AI and real-time speech processing techniques • Contribute to evolving the team's LLMOps best practices • Continuously improve conversational quality, RAG pipelines, and reduce latency

🎯 Requirements

• Must have 2+ years hands-on experience with LLMs (OpenAI or similar, open-source models) • Strong knowledge in prompt engineering and LLM optimization strategies • Experience in evaluating LLMs, designing and running evaluation frameworks, creating test datasets, and defining success metrics • Familiarity with automated testing pipelines, building CI/CD-integrated eval systems that run on every prompt change • Experience in multi-agent architecture, from design to development of orchestration of complex LLM systems • Good understanding of transformer architectures and proficiency in LLM frameworks such as LangChain, LlamaIndex, or similar frameworks • Proficiency in Python • Experience with RAG pipelines and vector databases • Experience in cross-functional teams, ability to work in fast-moving environments where you own outcomes, not just tasks. You're comfortable with ambiguity and excited by the challenge of figuring things out.

🏖️ Benefits

• 100% remote work, with the option to join our offices in Bologna or Barcelona • Stock options plan after 6 months • One extra day off for your birthday • Access to iFeel – our mental wellbeing platform • €8/day meal vouchers – lunch is covered if you're in the Bologna office • Private health coverage via Metasalute • Comprehensive private health insurance with Adeslas • Flexoh – flexible compensation platform • Wellhub – gym & wellness network membership • Language courses