AI & Backend Solutions Architect

Industry: Healthcare
Location: Remote (B2B Contract)
Salary: Gross – to be specified
Holidays: 10 paid public holidays

About the Role

We are looking for a hands-on AI & Backend Solutions Architect to take full ownership of end-to-end system design and implementation for a US-based healthcare company. This role combines architectural leadership with active development, covering backend services, cloud infrastructure, and advanced AI/ML components.

You will design, build, and maintain scalable backend systems, develop AI-powered solutions (including multi-agent RAG architectures), and ensure high standards of reliability, security, and performance in a healthcare environment.

Responsibilities

• Own end-to-end system architecture and implementation across backend, cloud, and AI components

• Design, build, and maintain Python backend services using FastAPI

• Implement asynchronous processing, background jobs, and real-time communication (e.g. WebSockets, streaming)

• Design and implement multi-agent RAG systems using LangChain and LangGraph

• Integrate LLMs, vector databases, and external APIs into production-ready systems

• Collaborate with product and business stakeholders to translate requirements into scalable technical solutions

• Design and manage cloud infrastructure (AWS/GCP/Azure), including deployment, monitoring, and scalability

• Ensure system reliability, performance, and observability (logging, tracing, metrics)

• Apply security and data protection best practices, especially relevant to healthcare systems

• Review code and architecture decisions, setting technical standards and best practices

Requirements

• Strong experience in Python backend development

• Hands-on expertise with FastAPI and modern async Python

• Solid understanding of system architecture, distributed systems, and API design

• Experience designing and implementing RAG systems and AI workflows

• Practical knowledge of LangChain and LangGraph (or similar orchestration frameworks)

• Experience with LLMs, embeddings, and vector databases

• Cloud experience (AWS, GCP, or Azure), including deployment and infrastructure design

• Familiarity with real-time systems and asynchronous processing

• Ability to work independently and take full ownership of solutions

• Strong communication skills and comfort working with a US-based team

Nice to Have

• Experience in the healthcare domain (HIPAA, data privacy, regulated environments)

• Experience with Kubernetes, Docker, and CI/CD pipelines

• Background in AI/ML beyond LLMs

• Previous experience in an architect or tech lead role

What We Offer

• Fully remote work on a B2B contract

• Opportunity to build impactful AI-driven solutions in healthcare

• High level of ownership and technical influence

• Flexible working environment

• 10 paid public holidays