More jobs:
Artificial Intelligence; AI Infrastruture Engineer
Job in
Laurel, Anne Arundel County, Maryland, 20724, USA
Listed on 2026-02-16
Listing for:
Belay Technologies
Full Time
position Listed on 2026-02-16
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
Location: Laurel
Belay Technologies is seeking an Artificial Intelligence (AI) full-stack software engineer. 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 will help build and maintain the platform that provides the foundation for the customer's AI capabilities, focusing on inference services while supporting the boarder ecosystem of AI-enabled applications.
This role is intended for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components.
- Design, implement, and optimize infrastructure for AI model inference at scale.
- Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
- Navigate ambiguity and define solutions for under specified 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.
- Contribute to security best practices for AI systems and data.
- Provide technical guidance and informal mentorship to junior engineers.
- TS/SCI Clearance with polygraph
- 8 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
- Proven experience building and maintaining production systems at scale
- Experience with high-volume web application architecture and performance optimization
- Strong background in systems integration across diverse technologies and platforms
- Hands‑on experience with cloud engineering in AWS
- Proficiency with Kubernetes administration and deployment patterns
- Strong Python programming skills
- Experience implementing observability solutions (APM, Open Telemetry, Grafana, Prometheus)
- Familiarity with CI/CD pipelines and Dev Ops practices
- Strong change management and organizational influence skills
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