4+ years of backend software engineering experience
Strong experience with Java and modern backend development frameworks
Experience building and supporting APIs, microservices, and distributed systems
Experience integrating AI, machine learning, or LLM-based solutions into production applications
Strong understanding of cloud infrastructure and modern application architectures
Experience with monitoring, observability, and production support
Strong communication and problem-solving skills
Responsibilities
Design, develop, and optimize backend services that support AI and LLM-powered workflows
Build and maintain scalable APIs and microservices using Java and modern backend frameworks
Integrate AI and machine learning models into production environments with a focus on reliability, performance, and scalability
Develop and own AI-powered features from concept through deployment
Monitor and evaluate AI system performance in both testing and production environments
Troubleshoot issues across AI services, model serving infrastructure, and backend systems
Partner with product and engineering teams to define requirements and deliver technical solutions
Contribute to architecture discussions, code reviews, and platform improvements
Benefits
Competitive compensation package
Medical, dental, and vision benefits
Paid time off and company holidays
Retirement savings options
Professional growth and development opportunities
Opportunity to build cutting-edge AI products in a fast-growing organization
Full Job Description
Job Description A fast-growing fintech and insurtech company is seeking an AI Engineer to join its engineering team and help build AI-powered products and services at scale.
This role is heavily focused on backend development and Generative AI, with an emphasis on designing, building, and deploying production-grade AI systems. The ideal candidate has a strong Java engineering background, experience building scalable microservices, and a track record of integrating LLMs and AI capabilities into customer-facing applications. Key Responsibilities
Design, develop, and optimize backend services that support AI and LLM-powered workflows.
Build and maintain scalable APIs and microservices using Java and modern backend frameworks.
Integrate AI and machine learning models into production environments with a focus on reliability, performance, and scalability.
Develop and own AI-powered features from concept through deployment.
Monitor and evaluate AI system performance in both testing and production environments.
Troubleshoot issues across AI services, model serving infrastructure, and backend systems.
Partner with product and engineering teams to define requirements and deliver technical solutions.
Contribute to architecture discussions, code reviews, and platform improvements.
Required Skills & Experience
4+ years of backend software engineering experience.
Strong experience with Java and modern backend development frameworks.
Experience building and supporting APIs, microservices, and distributed systems.
Experience integrating AI, machine learning, or LLM-based solutions into production applications.
Strong understanding of cloud infrastructure and modern application architectures.
Experience with monitoring, observability, and production support.
Experience designing scalable, reliable, and high-performance systems.
Strong communication and problem-solving skills.
Desired Skills
Experience with Spring Boot or similar Java frameworks.
Experience with Generative AI, LLMs, RAG, agentic workflows, or prompt engineering.
Familiarity with AI evaluation frameworks and model performance monitoring.
Experience with AWS, Azure, or GCP.
Experience with Docker, Kubernetes, and containerized environments.
Exposure to Python for AI/ML development.
The Offer
Competitive compensation package
Medical, dental, and vision benefits
Paid time off and company holidays
Retirement savings options
Professional growth and development opportunities
Opportunity to build cutting-edge AI products in a fast-growing organization
Eligibility Applicants must be authorized to work in the United States without sponsorship now or in the future.
