Full-Stack AI Infra Engineer — Scale & Inference

Bytoa; Laurel (MD); On-site; USD 200,000 - 220,000; Full time

Job summary

Bytoa is seeking a Full-Stack Software Engineer to support our AI infrastructure team in Laurel, MD. You will help build and maintain the platform that enables customer AI capabilities, focusing on inference services and scalable AI infrastructure components.

Salary range listed as $200,000–$220,000 with compensation determined case-by-case. This role requires experience with production systems, AWS, Kubernetes, and observability, and offers opportunities to mentor junior engineers.

Qualifications

• Extensive experience building & maintaining production systems.
• Experience with high-volume web applications and performance optimization.
• Strong background in systems integration across diverse technologies and platforms.

Responsibilities

• Design, implement, and optimize infrastructure for AI model inference at scale.
• Support production AI services and applications including retrieval augmented generation (RAG) and autonomous agents.
• Navigate ambiguity and define solutions for underspecified systems and requirements.
• Drive adoption of new technologies and practices across engineering teams.
• Implement monitoring, logging, and observability solutions for AI services.
• Automate infrastructure provisioning and configuration using IaC principles.
• Ensure high availability, reliability, and performance of AI platform components.
• Provide technical guidance and informal mentorship to junior engineers.

Skills

Production systems

Web app architecture

Systems integration

AWS

Kubernetes

Observability

CI/CD

DevOps

Communication

Mentoring

Education

BS in technical discipline

4 additional years of experience in lieu of BS

Job description

Bytoa is seeking a Full-Stack Software Engineer to support our AI infrastructure team in Laurel, MD. You will help build and maintain the platform that enables customer AI capabilities, focusing on inference services and scalable AI infrastructure components.

Salary range listed as $200,000–$220,000 with compensation determined case-by-case. This role requires experience with production systems, AWS, Kubernetes, and observability, and offers opportunities to mentor junior engineers.