AI Developer / Engineer

Agile Business Concepts, LLC

Chantilly (VA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Agile Business Concepts, LLC in Chantilly, VA seeks an experienced AI Developer/Engineer to design, build, and integrate AI-enabled applications within enterprise systems. The role focuses on AI/LLMs, secure APIs, and scalable data pipelines across AWS, Azure, or GCP environments.

You will collaborate with cross-functional teams, mentor junior engineers, and help deploy containerized services with Docker and Kubernetes while advancing zero-trust security and data governance practices.

Qualifications

  • 7+ years of software development or systems engineering experience.
  • 5+ years supporting offensive or defensive cyber operations.
  • Experience integrating AI/LLMs into enterprise or legacy environments.
  • Strong experience with Docker and Kubernetes.
  • Knowledge of AWS, Azure, or GCP and AI/ML cloud infrastructure.
  • Understanding of zero-trust security, secure APIs, networking, system security, and data pipelines.
  • Strong technical communication and collaboration skills.

Responsibilities

  • Design, develop, deploy, and maintain enterprise-grade software and AI-enabled applications.
  • Integrate AI and Large Language Models (LLMs) with existing architectures, APIs, and enterprise systems.
  • Support offensive and defensive cyber operations and large-scale network exploitation.
  • Build and support containerized environments using Docker and Kubernetes.
  • Develop secure solutions incorporating zero-trust architecture, API security, and data governance.
  • Support AI/ML workloads within AWS, Azure, or GCP cloud environments.
  • Design and support data pipelines, model inference, distributed processing, and AI/ML infrastructure.
  • Collaborate with technical teams and translate complex requirements into scalable solutions.
  • Provide technical leadership and mentorship to junior engineers.

Skills

AI/LLM integration
Cloud architecture
Technical communication
Security governance

Education

Master's degree in CS/AI/Systems Engineering

Tools

Docker
Kubernetes
GitLab CI
MLflow
Kubeflow

Job description

Agile Business Concepts is seeking an experienced AI Developer/Engineer to support a funded program in Chantilly, VA. The successful candidate will develop and integrate advanced AI/LLM capabilities into enterprise systems while supporting complex cyber and SIGINT exploitation activities involving large-scale networks.

Key Responsibilities
  • Design, develop, deploy, and maintain enterprise-grade software and AI-enabled applications.
  • Integrate AI and Large Language Models (LLMs) with existing architectures, APIs, and enterprise systems.
  • Support offensive and defensive cyber operations and large-scale network exploitation.
  • Build and support containerized environments using Docker and Kubernetes.
  • Develop secure solutions incorporating zero-trust architecture, API security, and data governance.
  • Support AI/ML workloads within AWS, Azure, or GCP cloud environments.
  • Design and support data pipelines, model inference, distributed processing, and AI/ML infrastructure.
  • Collaborate with technical teams and translate complex requirements into scalable solutions.
  • Provide technical leadership and mentorship to junior engineers.
Required Qualifications
  • 7+ years of software development or systems engineering experience.
  • 5+ years supporting offensive or defensive cyber operations.
  • Experience integrating AI/LLMs into enterprise or legacy environments.
  • Strong experience with Docker and Kubernetes.
  • Knowledge of AWS, Azure, or GCP and AI/ML cloud infrastructure.
  • Understanding of zero-trust security, secure APIs, networking, system security, and data pipelines.
  • Strong technical communication and collaboration skills.

Desired: MLOps/LLMOps experience with MLflow, Kubeflow, GitLab CI, or similar tools; high-performance networking experience; Master's degree in Computer Science, Artificial Intelligence, or Systems Engineering; and/or relevant Cloud Architecture or DevOps certifications.


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