Senior AI Engineer
23 hours ago
London
This range is provided by Vet-AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Vet-AI People Director at Vet-AI| Driving Growth & Innovation in HealthTech | Job Description Location: Remote (UK-based) Who we are: We are Vet-AI, and we are delivering the pet care of the future. Our flagship app, Joii Pet Care was created to make pet care affordable and accessible for all pet owners. Through Joii, pet mums and dads can video call a vet 24/7, use an intelligent pet symptom checker (think NHS 111 but for pets), or seek preventative care through nurse clinics. And yes - it can all be done from the comfort of home - drastically reducing the need for in-person vet trips. Our mission: To make pet care affordable and accessible for everyone. To improve the lives and wellbeing of everyone working within the veterinary industry. Quite simply, we want vet care to be available to everyone, and to ensure the people who are delivering it with us are as happy as they can be. We’re called Joii, after all. Our brand values: Brave; We are not afraid to disrupt the status quo. Championing what’s right for pets and standing confidently behind our purpose. Even when it’s challenged. We have the courage and confidence to tackle things that nobody has done before. We may face hurdles, adversity, and the fear of failure but we have the conviction to keep going. Boundless; We do not constrain ourselves to the expectations of traditional pet care; we’re young, bright and full of fresh ideas. We bring energy and pro-activity to everything we do. We’re problem solvers, with a ‘can do’ outlook. Our boundless attitude brings the joy. Togetherness ; We share an ‘in-it-together’ mindset. We’re one team; we don’t leave anyone to face problems alone when we can help. We champion empathy and compassion; caring about what our customers and our colleagues are going through. Going above and beyond when they need us. We strive for constant collaboration, no matter where we are in the world Role Summary: As a Senior AI Engineer, you’ll design, build, and ship AI features that directly improve pet health outcomes and make veterinary care more accessible. You’ll work across conversational AI, medical image classification, and model deployment — bringing cutting-edge AI to real customers at scale. You’ll collaborate closely with product managers, veterinary experts, and backend engineers to ensure our AI systems are robust, safe, and delightful to use. This role is hands-on — you’ll be writing code, building pipelines, and iterating quickly based on user feedback. Key Responsibilities: Build and integrate AI solutions using LangChain and similar orchestration frameworks for conversational AI. Design and optimise Retrieval-Augmented Generation (RAG) pipelines — including embedding generation, vector database configuration, and retrieval tuning — to improve accuracy, latency, and relevance in conversational AI. Develop and fine-tune custom image models for medical/veterinary classification, including skin lesion detection and gait classification Prompt optimisation of closed source LLMs, or post-training of open-source LLMs to build new or improve existing agentic workflows Design and run evaluation frameworks to measure model safety, accuracy, and performance — including recall, precision, F1-score, and other relevant metrics for both conversational AI and classification models. Set up and maintain MLflow for experiment tracking, model versioning, and performance monitoring across AI projects. Own and improve MLOps pipelines to speed up experimentation, deployment, and monitoring. Ship AI models into live production environments and iterate rapidly based on usage, feedback, and metric-driven insights. Collaborate with cross-functional teams to identify opportunities for AI across the Joii product suite. Write clean, testable, and scalable code in Python and integrate with backend services in Go. Stay up-to-date with the latest AI research and tools, applying them pragmatically to solve real problems. Skills & Experience Required: 4+ years in AI/ML engineering, with experience shipping production models. Experience with LangChain/LangGraph or similar AI orchestration frameworks. Proven experience in designing, implementing, and optimising RAG-based systems, including vector databases (e.g., pgvector, Weaviate, Qdrant, Pinecone). Image model training using frameworks such as Pytorch/Tensorflow Image model deployment & inference using cloud-based tools such as GCP Vertex AI or AWS Sagemaker Proficient in MLflow (or similar tools) for tracking experiments, managing models, and maintaining reproducibility. Strong understanding of conversational AI evaluation — able to run and interpret tests that improve recall, precision, and F1-score, and balance these metrics for optimal customer experience. Knowledge & experience of LLM post-training using SFT & RL using frameworks such as trl Solid understanding of MLOps (CI/CD for models, data pipelines, monitoring, retraining). Experience running evaluation and validation processes for AI models in production. Comfortable with GitHub workflows, Docker, and cloud deployments. Strong communicator, able to explain AI concepts to both technical and non-technical audiences. Thrives in a fast-moving, evolving startup environment. Bonus Skills Experience with multi-modal AI (text, images, video). Cloud-based LLM deployment and inference using frameworks such as vLLM Background in healthcare, veterinary, or other high-trust domains. Understanding of AI safety and ethics in production systems. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Media Referrals increase your chances of interviewing at Vet-AI by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. 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