Backend AI Engineer

Harrison Clarke are partnered with a fast-growing, AI-native company operating at the intersection of healthcare, data, and artificial intelligence. The company is building technology that helps modern healthcare organizations automate complex workflows, make better use of clinical data, and bring AI-powered products into production. The engineering team is small, highly technical, and focused on solving challenging problems across backend infrastructure, AI systems, data, and product. The Role We’re looking for a mid-level Backend / AI Engineer to join the engineering team and take ownership of core systems powering the company’s AI platform. You’ll work across the backend stack, building production services and AI-powered workflows that need to be reliable, scalable, and easy to integrate into real-world healthcare environments. This is a hands-on role for an engineer who enjoys moving between backend engineering, distributed systems, data, and applied AI. You’ll have significant ownership over projects and will work closely with senior engineers, product, and domain experts to turn complex problems into production systems. Responsibilities: Design, build, and operate scalable backend services and APIsDevelop AI-powered applications and workflows using modern LLM technologiesBuild and maintain data pipelines and infrastructure supporting AI applicationsWork with LLMs, RAG, agents, embeddings, vector databases, and evaluation frameworksIntegrate AI systems with external APIs, enterprise systems, and proprietary datasetsOwn projects end-to-end, from technical design through implementation and deploymentImprove the reliability, observability, performance, and scalability of production systemsWork closely with product and domain experts to understand complex healthcare workflowsContribute to architectural decisions and help shape engineering best practicesRapidly prototype new ideas while maintaining a high bar for production quality Qualifications: 3-5 years of professional software engineering experienceStrong backend engineering fundamentals and experience building production systemsStrong proficiency in Python or another modern backend languageExperience building APIs and services using frameworks such as FastAPI, Django, Flask, Go, Java, or similarPractical experience building or integrating LLM/AI-powered applicationsFamiliarity with concepts such as RAG, vector databases, embeddings, agents, prompt engineering, or model evaluationStrong understanding of software engineering fundamentals, including testing, observability, scalability, and system designComfortable working in a fast-moving startup environment with significant ownership and ambiguityNice to Have Experience building production AI systems rather than purely research or experimentationExperience with LangChain, LangGraph, OpenAI, Anthropic, or similar AI toolingFamiliarity with healthcare APIs, clinical data standards, or healthcare workflowsExperience taking an AI prototype from 0→1 into a reliable production product Why Join Work on AI-native products with meaningful real-world impact in healthcareOwn substantial backend and AI projects rather than being siloed into a narrow engineering functionSolve technically challenging problems involving AI, data, and distributed systemsJoin a high-growth environment where you can have significant influence over the technology and product If this sounds like something of interest, please feel free to apply below or alternatively reach out to me at reece@harrisonclarke.com