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Senior Generative AI Software Developer - Peraton
AI Engineer
Lead the design and implementation of generative AI solutions, building scalable pipelines and integrating LLMs into mission‑critical applications using Python, cloud services, and container orchestration.
About the role
Key Responsibilities
- Architect, develop, and deploy generative AI models and services for high‑impact national security applications.
- Design end‑to‑end data pipelines, model training workflows, and inference APIs using Python, TensorFlow/PyTorch, and cloud platforms.
- Containerize applications with Docker and orchestrate deployments on Kubernetes for scalable, secure production environments.
- Collaborate with cross‑functional teams to integrate AI capabilities into existing mission systems, ensuring compliance with security and performance standards.
- Implement CI/CD pipelines, automated testing, and monitoring to maintain model reliability and rapid iteration.
Requirements
- 5+ years of professional software development experience, with deep expertise in Python and AI/ML frameworks (TensorFlow, PyTorch).
- Hands‑on experience building, fine‑tuning, and deploying large language models or other generative AI technologies.
- Proficiency with cloud services (AWS) and container technologies (Docker, Kubernetes) for scalable deployment.
- Strong understanding of software engineering best practices, including version control, CI/CD, and automated testing.
- Clear communication skills and ability to work in a secure, collaborative environment supporting mission‑critical outcomes.
Skills
pythontensorflowpytorchawsdockerkubernetes