Junior AI Infrastructure Engineer | TS/SCI Clearance

Neural Solutions

Columbia (MD)

Presencial

USD 138 000 - 163 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Neuralsolutions in Columbia, MD, is seeking a Software Engineer focused on AI infrastructure to build and maintain the foundation for customer AI capabilities.

You will work on configuring inference models, developing in-house services, and creating reliable pipelines with vendor teams, while collaborating across teams to enable LLM-powered tools for users. A TS/SCI with Polygraph clearance is required.

Qualificações

  • Bachelor's degree in a technical discipline with 3+ years experience.
  • 7+ years of experience without a degree is also acceptable.

Responsabilidades

  • 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 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 to establish solid infrastructure for services and integrate LLM-powered tools for user needs.

Conhecimentos

Python
CI/CD
Kubernetes
AWS
Adaptability
Communication

Formação académica

Bachelor's degree in a technical discipline

Ferramentas

Docker
Grafana/Prometheus
vLLM
LiteLLM

Descrição da oferta de emprego

Software Engineer - AI Infrastructure

We’re seeking a software engineer to support our AI infrastructure team. 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 technical field, or 7 additional years without degree

Location: Columbia, MD

Clearance: TS/SCI with Polygraph required

Salary Range: $138,000 - $163,000

Questions about this role or want to learn more about Neural Solutions?

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