Responsibilities
- Design and scale intelligent workflows powered by artificial intelligence to automate complex processes
- Create integrations with monitoring systems, incident management tools, and continuous integration pipelines
- Develop APIs, data processing pipelines, and internal tools that enable AI-based decision support
- Implement large language model integrations, including prompt design, response streaming, and function routing
- Build full-stack applications using modern web frameworks to deliver dynamic user experiences
- Convert real-world operational challenges into automated, intelligent software solutions
- Partner with product and infrastructure teams to deliver robust end-to-end features
- Enhance system reliability, performance, and monitoring capabilities
- Develop evaluation frameworks and observability tools to track AI model behavior and output quality
- Construct reusable platforms and shared components to boost engineering efficiency
- Design high-performance backend systems for AI-centric applications
- Maintain and extend AI-powered workflows and automation logic
- Build RESTful services, microservices, and event-based architectures
- Model database structures and queries for domains such as user engagement and operational reporting
- Process and analyze both structured and unstructured data for machine learning applications
- Support CI/CD systems with automated testing and deployment scripts
- Diagnose and resolve issues in live environments to ensure system stability
- Work across disciplines to deliver polished, production-grade solutions
- Advance shared engineering standards and reusable development frameworks
- Rapidly prototype new ideas, moving from concept to functional demo quickly
Compensation
Competitive salary and comprehensive benefits package
Work Arrangement
Flexible work environment with remote and hybrid options
Team
Collaborative engineering team focused on AI innovation and scalable system design
Visa sponsorship available for qualified candidates
