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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