AI Native Software Engineer

Design, build, deploy, and operate secure, scalable enterprise AI agents and agentic workflows, integrating retrieval, orchestration, tools, evaluation, and observability with cloud-native infrastructure. Partner with client stakeholders to define use cases, prototype and deliver solutions, measure and improve performance, and share reusable engineering patterns and practices.

Requirements: Requires at least three years of cloud-native engineering experience, one year designing and deploying agentic solutions, one year working with modern AI platforms, and three years of experience with Python, Java, or equivalent, plus Infrastructure as Code. Also requires three years of client-facing collaboration and a bachelor's degree in computer science, engineering, or equivalent, or qualifying equivalent work experience.

Key

Skills:

AI Agent Engineering, Cloud-Native Engineering, Python, Java, Agent Orchestration, Retrieval-Augmented Generation, Context Engineering, Kubernetes, Docker, Microservices, Serverless Architecture, Infrastructure as Code, Terraform, Helm, CI/CD, Client Engagement

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, Life Insurance, Long-Term Disability Coverage, 401(k) Plan, Bonus Opportunities, Paid Holidays, Paid Time Off