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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. Experience Required: 3 years with Bachelor's degree in technical field, or 7 additional years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $138,000 - $163,000
Job ID
17855209858430123019WUp
Security Clearance
TS/SCI
About Neural Solutions