AI Accelerated Platform Engineering

Position Summary: We are seeking an AI API Engineer who thrives in a modern AI-assisted engineering environment and can leverage emerging AI development tooling to accelerate API and backend service delivery without compromising reliability, scalability, or maintainability. This is a hands-on role spanning API design, backend services, data integration, and intelligent automation. The ideal candidate understands how to combine strong engineering fundamentals with AI-enhanced workflows to dramatically improve productivity across API design, coding, testing, debugging, documentation, and operational support. You will play a key role in modernizing insurance data integration through AI-assisted development practices, scalable cloud-native API architecture, and advanced automation across LimeIQ’s ingestion, validation, reconciliation, and analytics platforms.

Key Responsibilities: Leverage AI-powered development tools to accelerate API design, coding, testing, debugging, documentation, and code reviews. Design, develop, and scale AI-accelerated RESTful and event-driven APIs using Python, FastAPI, and modern cloud-native architectures. Develop and optimize scalable backend services, integration APIs, and distributed data processing pipelines. Build intelligent automation workflows that reduce manual engineering effort and improve API delivery velocity. Architect API integration layers connecting LincolnSmart, Microsoft Fabric, and downstream analytics platforms. Implement robust authentication, authorization, validation, and exception-management frameworks for complex insurance datasets. Apply AI-assisted approaches to API quality, automated test generation, contract testing, and operational monitoring. Collaborate with product, data, DevOps, and BI teams to rapidly deliver high-quality platform capabilities. Participate in architecture reviews, technical planning, and modernization initiatives focused on scalability and engineering efficiency. Contribute to API design standards, reusable frameworks, and AI-enabled development best practices. Support modernization of legacy integrations while reducing technical debt and operational complexity. Key Skills & ExpertiseAI Accelerated EngineeringStrong practical experience using AI-powered software engineering tools and workflows Ability to rapidly prototype, iterate, and deliver software using AI-assisted development practices Experience integrating AI into development lifecycles while maintaining code quality, security, and auditability Understanding of prompt engineering, AI-assisted debugging, automated test generation, and developer productivity tooling Experience with Python or Django in production environments, including REST framework or FastAPI Strong understanding of API design, versioning, OpenAPI/Swagger documentation, and performance optimization Experience implementing authentication and authorization patterns (OAuth2, JWT, API gateways) Hands-on experience building ETL pipelines and integration APIs with PySpark and cloud analytics platforms Strong understanding of data normalization, reconciliation, validation, and auditability Experience handling high-volume insurance, financial, or operational datasets Experience with Microsoft Azure, Microsoft Fabric, and API management services Familiarity with CI/CD pipelines, infrastructure automation, monitoring, and containerization Working knowledge of Docker and cloud-native deployment practices Ability to work effectively with product managers, business stakeholders, data teams, and engineers Strong documentation and communication skills Ability to translate business and regulatory requirements into scalable technical solutions QualificationsPractical experience working in AI-assisted engineering environments 5+ years of professional software engineering experience with a focus on APIs and backend services Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience is preferred Experience with Python or Django Experience designing and documenting RESTful or event-driven APIs Experience with distributed data processing and cloud-based analytics platforms Demonstrated ability to deliver scalable, reliable, and maintainable systems Experience in insurance, financial services, or data-intensive industries is preferred Experience with Lloyd’s of London, delegated authority, or bordereaux processing is a plus

What We Offer: A senior engineering role helping shape the future of AI-accelerated insurance technology Direct influence over API architecture, engineering practices, and AI adoption strategy Opportunity to work with modern cloud, analytics, and AI engineering technologies A fast-moving engineering culture focused on automation, scalability, and execution Long-term career growth and technical leadership opportunities