This opportunity is with a technology-first insurance organization that has transformed how small businesses access affordable, customized coverage since 2016. Serving hundreds of thousands of customers, the company is making significant investments in cloud infrastructure, developer enablement, and AI-powered software development as it modernizes the way software is built and delivered. This AI Engineer position is a highly technical role focused on designing, building, and scaling production-ready AI applications that power real business and customer-facing experiences. The ideal candidate will bring a combination of strong software engineering fundamentals and hands-on expertise developing AI systems, with a particular focus on integrating large language models into robust backend architectures using modern engineering practices.
This is not a role for someone whose AI experience is limited to using ChatGPT or experimenting with prompts. The organization is seeking an engineer who has built, deployed, operated, and optimized AI-powered applications in production environments. You'll work across the full lifecycle of AI systems, from architecture and model orchestration through deployment, monitoring, evaluation, and continuous improvement. This role offers the opportunity to shape the organization's next generation of intelligent applications while working closely with engineering teams to establish best practices for scalable, reliable, and measurable AI solutions.
Required Skills & Experience
- For this particular role, we're really looking for people who have specific experience designing and engineering AI applications
- Strong software engineering experience building backend applications and distributed systems using Java, Kotlin, or similar backend technologies
- Hands-on experience developing and deploying production AI applications that leverage LLMs, GenAI services, or AI agents
- Knowledge of AI application architecture, including retrieval-augmented generation (RAG), prompt engineering, model orchestration, and context management
- Experience monitoring, evaluating, debugging, and optimizing AI systems in production environments
What You Will Be Doing
Tech Breakdown
- Generative AI & Large Language Models
- Java
- Kotlin
- AI Application Development
- Microservices Architecture
- Cloud Infrastructure
- AI Evaluation, Monitoring & Observability
- Backend Services & APIs
Daily Responsibilities
- Design and develop production-grade AI applications and intelligent services - 35%
- Integrate LLMs and AI capabilities into scalable backend systems and microservices - 25%
- Deploy, monitor, evaluate, and optimize AI solutions in production environments - 20%
- Collaborate with engineering teams to establish AI development standards and best practices - 10%
- Research and implement emerging AI technologies to improve platform capabilities - 10%
The Offer
- Competitive base salary
- Comprehensive medical, dental, and vision coverage
- 401(k) with employer-sponsored retirement benefits
- Generous PTO and company holidays
- Opportunity to help shape the organization's long-term AI strategy
- Exposure to cutting-edge GenAI technologies and modern cloud platforms
- High-visibility role with organization-wide impact
- Collaborative engineering culture focused on innovation and continuous learning
- Career growth opportunities within a rapidly expanding AI and platform engineering organization
Posted By: Maxwell Everson