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.


Key Responsibilities

• 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

Required Qualifications

• 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 NoSQL databases
• Ability to work independently while collaborating effectively across technical and non-technical teams
• Strong problem-solving, communication, and organizational skills

Preferred Experience

• 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

Technical Skills & Tools:

Core Technologies

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

Additional Technologies

• Kubernetes
• Terraform
• Vector databases
• Cloud infrastructure and deployment tooling
• Relational and NoSQL database systems

What Success Looks Like

• 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

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