Mid-Level Software Engineer
About The Position
Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Mid-Level Software Engineer to join our intel team. 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.
Requirements
- 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, OpenTelemetry, Grafana, Prometheus)
- Familiarity with CI/CD pipelines and DevOps practices
- Strong change management and organizational influence skills
- Ability to thrive in ambiguous environments and create structure where needed
- Excellent communication and collaboration skills
Nice To Haves
- Experience with AI inference serving technologies (vLLM, LiteLLM, etc.)
- Previous experience with agentic frameworks (LangChain)
- Knowledge of vector databases and embedding systems
- Experience with high-performance computing or distributed systems
Responsibilities
- 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 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.
- Contribute to security best practices for AI systems and data.
- Provide technical guidance and informal mentorship to junior engineers.
Benefits
- 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program
- 10% matching in 401(k) contributions vested on day one
- $5,000 annual training/tuition
- Student Loan Repayment Program
- 100% company-funded HSA
- Rich medical coverage (100% coinsurance)
- Dental coverage including orthodontia
- Up to $420,000 in life insurance, premiums 100% company funded
- Amazon Prime, gym reimbursement, monthly lunches, games and prizes
- Pet adoption program, generous referral bonus program, fun events, and more!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
