Note: The job is a remote job and is open to candidates in USA. Harnham is partnering with a healthcare analytics SaaS company to hire a Lead Backend Engineer – AI. The role leads the design and development of scalable backend services while productionizing AI and machine learning capabilities, including LLM workflows, RAG systems, prediction and scoring services, model serving, and agentic applications.
Responsibilities
- Lead the design and development of scalable backend services for the healthcare analytics platform
- Build AI-enabled capabilities including LLM integrations, RAG workflows, predictive and scoring services, model serving, and agentic applications
- Partner with Data Science to move models and proof-of-concepts into reliable production systems
- Develop APIs and services using server-side Java and Python/FastAPI
- Build and maintain ML pipelines, model deployment workflows, and model lifecycle processes
- Use tools such as MLflow for experiment tracking, model management, and deployment
- Design retrieval systems using vector databases, embeddings, and document search
- Evaluate build-versus-buy decisions across AI tooling, model providers, orchestration platforms, and vector stores
Skills
- 10+ years of software engineering experience, including substantial backend or distributed systems work
- Strong server-side Java development experience
- Production experience with Linux, cloud infrastructure, and scalable service architectures
- Hands-on experience building and operating AI or machine learning systems in production
- Strong Python experience, including FastAPI
- Experience with LLM applications, LangChain or similar orchestration frameworks, and agentic workflows
- Experience with vector databases, embeddings, RAG architectures, and retrieval systems
- Experience with model serving, ML pipelines, model deployment, and lifecycle management
- Familiarity with MLflow or comparable tools for experiment tracking and model registry
- Healthcare, healthcare analytics, health tech, or regulated SaaS experience
- Experience with sensitive data, security, privacy, or compliance-focused systems
Benefits
- Fully remote within the United States
Company Overview
Company H1B Sponsorship