Senior Full Stack AI Engineer

Requirements

Must have:

• Over 10 years of professional software engineering experience, with a minimum of 5 years in hands-on full stack delivery roles
• Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
• Expert-level proficiency in developing production applications using modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
• Extensive hands-on experience in building and managing services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
• Strong practical experience in deploying and operating on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
• Skilled in constructing and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query enhancement
• Proven ability to develop RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
• Advanced proficiency in using AI coding assistants (e.g., GitHub Copilot, Cursor)
• Experience with integration of LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production environments
• Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases
• History of improving team velocity through the adoption of AI tools
• Strong understanding of testing practices, including unit, integration, and end-to-end testing with modern frameworks
• Working knowledge of distributed systems, microservices, and event-driven architectures; capable of contributing to and implementing architectural designs

Responsibilities:

• Own features from concept to production release, writing and delivering high-quality code on a daily basis
• Rapidly build, test, deploy, and iterate across frontend, backend, APIs, and data layers
• Diagnose and fix production issues, performance bottlenecks, and intricate bugs
• Implement and maintain CI/CD pipelines, automated testing, and deployment automation
• Contribute to architectural decisions and design discussions as a practitioner, ensuring solid implementations
• Take responsibility for system reliability, performance, and security of the services built
• Develop and deliver modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript
• Create, deploy, and manage robust backend services using Java (Spring Boot), Node.js, Python, or .NET
• Optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
• Manage and configure cloud-native infrastructure (AWS or GCP) including containers, serverless solutions, and infrastructure-as-code
• Build and tune data layers using relational and NoSQL databases, caching, and message queues
• Write clean, well-tested, production-ready code with an emphasis on maintainability and operational excellence
• Utilize AI coding assistants to enhance development workflows
• Employ AI tools for code generation, refactoring, test writing, documentation, and code reviews
• Integrate large language model (LLM) APIs and AI/ML services into applications
• Design and implement RAG pipelines and AI-powered features
• Select and promote AI tools and practices to enhance team productivity
• Develop custom agents, workflows, and automations using various AI platforms and frameworks
• Establish security practices and governance for responsible AI usage in engineering
• Foster engineering culture by advocating for AI-augmented development practices
• Educate and mentor team members on the effective use of AI tools in their workflows
• Contribute to internal knowledge bases, tech talks, and communities of practice
• Collaborate with product, design, and data science teams to discover AI-driven opportunities

Company:

We are an innovative insurance company striving to make a meaningful impact beyond mere policies and coverages. Our team is dedicated to supporting individual and collective goals, fostering a collaborative environment that primes everyone for success. We offer a hybrid work schedule with the possibility to work in our offices located in Columbus, OH, Chicago, IL, Hartford, CT, or Charlotte, NC, for three days a week. Our comprehensive benefits package includes competitive compensation, performance bonuses, and recognition programs.