AI Accelerated Platform Engineering

LimeIQ LLC; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Senior role

Tech leadership

Career growth

Job summary

LimeIQ LLC is seeking an AI API Engineer to advance API design, backend services, data integration, and intelligent automation in a modern AI-assisted engineering environment. The role focuses on scalable API architecture and automated workflows to speed delivery while maintaining reliability and auditability.

You will work across API design, coding, testing, debugging, and documentation, partnering with product, data, and DevOps teams to modernize insurance data integration and platform

Qualifications

• Practical experience in AI-assisted engineering environments.
• 5+ years software engineering focusing on APIs and backend services.
• Experience with Python or Django in production.
• Experience designing RESTful or event-driven APIs and API management.

Responsibilities

• Leverage AI-powered tools to accelerate API design, coding, testing, documentation, and code reviews.
• Design, develop, and scale RESTful and event-driven APIs using Python and cloud-native architectures.
• Develop scalable backend services, integration APIs, and data processing pipelines.
• Build intelligent automation workflows to reduce manual effort and speed API delivery.
• Architect API integration layers connecting core platforms and analytics.
• Implement authentication/authorization patterns (OAuth2, JWT, API gateways).
• Support modernization of legacy integrations while reducing technical debt.

Skills

AI tooling

Prototype with AI

Python/Django

API design

OpenAPI/Swagger

OAuth2/JWT

ETL with PySpark

Azure Fabric

Education

Bachelors in CS/Engineering

Tools

Docker

CI/CD

Cloud deployment

Job description

LimeIQ is an innovative FinTech/InsurTech platform transforming how the global insurance market ingests, validates, aggregates, and analyzes complex operational data. We serve managing agents, brokers, underwriters, and delegated authorities operating in the Lloyd’s of London and specialty insurance markets.

At the core of our platform is LincolnSmart™, a proprietary ingestion and transformation engine built for high-volume bordereaux (BDX) processing. Our platform automates reconciliation, validation, and standardization of fragmented insurance submissions into a centralized and trusted data foundation.

LimeIQ is aggressively investing in AI-driven software engineering, intelligent automation, and accelerated product delivery. We are building an engineering organization that uses modern AI tooling to dramatically improve development speed, testing, architecture design, documentation, operational support, and data engineering productivity while maintaining enterprise-grade quality and auditability.

Our mission is to become the leading insurance data intelligence platform through disciplined engineering, deep domain expertise, and AI-accelerated software delivery.

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 & Expertise

AI Accelerated Engineering

• Strong 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

Qualifications

• Practical 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