Inference Platform Engineer - TS/SCI Clearance (Junior)

Neural Solutions

Columbia (MD)

On-site

USD 138,000 - 163,000

Full time

31 hours ago
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Job summary

Neural Solutions in Columbia, MD is seeking a Software Engineer to support the AI infrastructure team. You will help build and maintain the foundation for advanced AI capabilities and ensure high-quality LLM access throughout the inference software stack.

Responsibilities include procuring and testing inference models, developing in-house services, collaborating with model vendors, and supporting surge inference needs while integrating LLM-powered tools across teams.

Qualifications

  • Experience with Python or other modern programming languages.
  • Familiarity with Argo CD 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.

Responsibilities

  • Procure, configure, and test new inference models, preparing them for release to our user base.
  • Develop in-house services and techniques to ensure continuous high-quality inference service.
  • Collaborate with model vendor teams to create reliable pipelines for closed-source model usage.
  • Support surge efforts to meet short-term, high-priority inference needs from our customer.
  • Engage with other teams to establish robust infrastructure and integrate LLM-powered tools.

Skills

Python
Kubernetes
AWS
CI/CD
Communication
Learning new technologies

Education

Bachelor’s degree in a technical field

Tools

Argo CD
Kubernetes
Helm
Docker
Grafana/Prometheus
Elastic

Job description

Neural Solutions in Columbia, MD is seeking a Software Engineer to support the AI infrastructure team. You will help build and maintain the foundation for advanced AI capabilities and ensure high-quality LLM access throughout the inference software stack.

Responsibilities include procuring and testing inference models, developing in-house services, collaborating with model vendors, and supporting surge inference needs while integrating LLM-powered tools across teams.

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