Full Stack Software Engineer (AI Infrastructure)

Join Us In Building The Next Generation Of 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.

Responsibilities:

• 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.

Skills Requirements:

• 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 DevOps practices.
• Ability to learn unfamiliar technologies quickly.
• Strong communication skills and willingness to ask questions.

Nice To Haves:

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