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Remote | Part-Time | AI & LLM Engineer (RAG, MedTech, Psychiatry Focus) Start-Up | Python · React · AWS · Postgres 3–4 Days/Week | Flexible Hours | Global Candidates WelcomeAbout Us We’re a mission-driven medtech start-up on a journey to revolutionise psychiatric care through advanced AI. Our platform leverages cutting-edge large language models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to build smart, safe, and supportive tools for clinicians and patients in mental health. We’re growing our core team and are looking for anAI & LLM Engineerto help shape and scale our backend intelligence. If you're excited by the intersection of machine learning, mental health, and impactful product-building—this could be for you.What You’ll Do Build and optimize RAG pipelines for our psychiatry-focused AI platform Fine-tune and deploy LLMs for clinical, conversational, and cognitive tasks Integrate AI components into a cloud-based, React frontend and Python backend stack Collaborate with a small, high-performing team of engineers, clinicians, and product leads Help define AI ethics and safety guardrails in a mental health contextOur Tech Stack Languages:Python (FastAPI), JavaScript/TypeScript (React) Infra:AWS (Lambda, ECS, S3), Postgres, Docker AI/ML:OpenAI, Hugging Face, LangChain, vector DBs (e.g. Pinecone, FAISS)You Might Be a Fit If You Have: Experience building or deploying LLM applications in production (ideally with RAG) Strong background in Python and machine learning frameworks Familiarity with cloud-native development, ideally on AWS Understanding of prompt engineering, embeddings, and vector search Interest in healthcare, cognitive science, or mental health is a big plusThe Offer Remote-first : Work from anywhere Part-time : 3–4 days per week (flexible) Salary : Negotiable, based on experience and contribution level Be part of a founding team shaping something with real social impactApply Now Send your CV and a short note about why this mission resonates with you to [dev@] or apply via LinkedIn. We’re building with care and purpose. If that speaks to you—we’d love to meet.