Software Engineer - AI Infrastructure
We’re seeking a software engineer to support our AI infrastructure team at Columbia, MD. In this role, you’ll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications.
Responsibilities
- Procure, configure, and test new inference models, preparing them for release to our user base.
- Develop in-house services and techniques to guarantee continual high-quality inference service for our customer.
- Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage.
- Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.
- Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.
Required Skills
- Experience with Python and/or other modern programming languages.
- Familiarity with Argo CD and/or other CI/CD frameworks.
- Experience with Kubernetes/Helm.
- Familiarity with AWS or other cloud service providers.
- Ability to learn new technologies quickly.
- Strong communication skills and willingness to ask questions.
Nice To Have
- Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
- Experience with other LLM hosting frameworks and practices.
- Experience supporting production software using Site Reliability Engineering (SRE) best practices.
- Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices.
- Experience with Docker and containerization.
- Experience in traffic shaping and quality-of-service engineering.
- Knowledge of and interest in hosting AI capabilities.
Experience Required: 3 years with Bachelor’s degree in a technical discipline or 7 years without degree
Location: Columbia, MD
Clearance: TS/SCI with Polygraph required
Salary Range: $138,000 - $163,000