About Us

Senior Full-Stack AI/LLM Engineer (all genders)

Key Responsibilities

• LLM Application & Agentic Workflow Engineering
• Prototyping & Design: Lead the prototyping and design of novel AI experiences, translating product requirements into scalable LLM architectures.
• Advanced Agentic Systems: Architect, build, and deploy multi-agent and hierarchical agent workflows (using tools like LangGraph, AutoGen, or similar) to solve complex educational and medical problems.
• RAG Implementation: Design, build, and optimize the Retrieval-Augmented Generation (RAG) pipeline for domain-specific knowledge retrieval, including selection of embedding models, vector databases (e.g., Pinecone, Weaviate), and indexing strategies.
• Model Adaptation: Apply model adaptation techniques like Fine-Tuning, LoRA, and QLoRA to tailor pre-trained LLMs to our specific medical and educational datasets.
• Evaluation & MLOps: Actively support the evaluation and testing of LLM applications, including defining metrics and integrating feedback loops to ensure performance, accuracy, and reduction of hallucinations.
• API Development: Build and optimize high-performance, cost-effective APIs for LLM inference, ensuring scalability and robust integration.
• Full-Stack Integration
• Feature Implementation: Work across the full stack to integrate production-ready AI features into the existing platform, ensuring a seamless user experience.
• Core Stack Development: Utilize React and TypeScript to build, maintain, and enhance the front-end and core backend services interacting with the AI layer.
• Infrastructure & Deployment: Collaborate with DevOps to containerize, deploy, and monitor AI services on cloud infrastructure, ensuring reliability and adherence to medical data standards.

Your profile

• Experience: 5+ years of professional software development, including 1+ year building and deploying production LLM applications.
• LLM Expertise: Strong knowledge of prompt orchestration, advanced RAG systems, vector databases, model adaptation, and agentic (multi-agent, hierarchical) workflows.
• Programming: Expert in Python for ML/LLM backends; strong full-stack ability with React and TypeScript.
• Cloud & Deployment: Hands-on experience deploying and monitoring ML/LLM systems in cloud environments (AWS).
• Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field.
• Product Ownership: Proven ability to take AI projects from prototype to production, with a strong product mindset focused on user value and business outcomes.
• Leadership & Communication: Excellent communication skills with the seniority to mentor others and drive technical decisions in a collaborative, cross-functional team.

• Experience in the EdTech or HealthTech sectors, particularly involving medical data.
• Familiarity with data governance and privacy requirements (e.g., GDPR, HIPAA/PHI concerns).

What we offer

• Flexible working hours and remote work are a given to enable you to achieve a good work-life balance.
• You are part of a highly engaged, motivated, and professional Development team.
• Your ideas are heard: We value employees who drive change with creativity. Because only with a diverse team and fresh ideas can we make an impact!
• A comprehensive, structured HR and professional onboarding process with cross- departmental introductions and feedback sessions.
• Take advantage of our complete Lecturio training platform for free for your personal and professional development.
• Free access to coaching sessions and other mental health benefits.