Full Stack Software Engineer; AI Infrastructure

Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We’re seeking a full-stack software engineer to support our AI infrastructure team. In this role, you’ll help build and maintain the platform that provides the foundation for the customer’s AI capabilities, with a focus on inference services while supporting a broader ecosystem of AI-enabled applications.

• Implement and support infrastructure for AI model inference under the guidance of senior engineers.
• Contribute to the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG) and autonomous agents.
• Participate in implementing monitoring, logging, and observability for AI services.
• Assist with automating infrastructure provisioning and configuration using IaC principles.
• Help ensure availability, reliability, and performance of AI platform components.
• Follow established security best practices for AI systems and data.
• Work within ambiguous problem spaces while learning to define structured solutions.
• Collaborate with cross-functional teams and contribute to shared engineering standards.

• Experience contributing to production systems.
• Familiarity with high-volume web application architectures.
• Exposure to cloud engineering, preferably AWS.
• Working knowledge of Kubernetes concepts and containerized deployments.
• Proficiency in Python.
• Familiarity with CI/CD pipelines and Dev Ops practices.
• Ability to learn unfamiliar technologies quickly.
• Strong communication skills and willingness to ask questions.

• Exposure to AI inference serving technologies (vLLM, LiteLLM, etc.).
• Familiarity with agentic frameworks (Lang Chain).
• Awareness of vector databases and embedding systems.
• Interest in distributed systems or performance engineering.