Applied AI Engineer

Overview

We are seeking an experienced AI Engineer to design, develop, and deploy production‑grade AI solutions that address operational challenges within healthcare‑related environments. This role involves working closely with cross‑functional teams, stakeholders, and end users to build scalable backend systems and AI‑powered applications that integrate into real‑world workflows.

The ideal candidate combines strong software engineering fundamentals with hands‑on experience delivering AI applications in production settings. This is a highly collaborative role focused on building practical, reliable systems rather than experimental research projects.

• Design, build, and maintain scalable backend services and APIs for AI‑driven applications
• Develop and deploy generative AI solutions that support operational and business workflows
• Integrate large language model (LLM) services and third‑party APIs into production systems
• Architect and implement AI agents, automation pipelines, and intelligent workflow solutions
• Collaborate with product, engineering, data, and operational teams to identify business problems and translate them into technical solutions
• Work directly with stakeholders and users to ensure applications align with real‑world processes and requirements
• Build secure, maintainable, and high‑performance systems using modern backend development practices
• Participate in code reviews, sprint planning, testing, and ongoing system optimization
• Own projects end‑to‑end, from technical design and prototyping through deployment and support

• 4–6+ years of experience in software engineering, backend engineering, solutions engineering, or a related technical role
• Professional experience building and maintaining production applications using Python
• Hands‑on experience developing and deploying AI‑powered applications in live environments
• Strong understanding of backend system architecture and API design principles
• Experience building and consuming RESTful APIs and integrating external services
• Familiarity with relational and/or No
  
  SQL databases
• Ability to work independently while collaborating effectively across technical and non‑technical teams
• Strong problem‑solving, communication, and organizational skills

• Experience working with healthcare, laboratory, revenue cycle, supply chain, or operational data systems
• Familiarity with healthcare interoperability and data standards such as HL7 or FHIR
• Exposure to LIS/LIMS platforms, claims processing systems, or healthcare workflow applications
• Experience working in startup or fast‑paced product environments
• Understanding of scalable cloud infrastructure and deployment workflows

• Python
• FastAPI or similar backend frameworks
• SQL
• RESTful APIs
• LLM platforms and AI service integrations

• Kubernetes
• Terraform
• Vector databases
• Cloud infrastructure and deployment tooling
• Relational and No
  
  SQL database systems

• Delivering reliable AI‑enabled systems that solve operational challenges at scale
• Translating complex workflows into intuitive technical solutions
• Building maintainable backend services that support high availability and performance
• Taking ownership of critical systems and continuously improving them through iteration and collaboration