Senior AI Architect: End-to-End ML & LLM Systems

Steampunk

McLean (VA)

Vor Ort

USD 140.000 - 190.000

Vollzeit

Vor 13 Tagen

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Zusammenfassung

Steampunk is seeking a Senior AI Developer in the United States, Virginia (McLean) to design, build, and optimize cutting-edge AI capabilities across predictive, generative, and autonomous domains. You’ll own end-to-end AI delivery from data ingestion to deployment, collaborating with data scientists, LLMOps, and product teams.

You will architect scalable AI solutions, implement reusable components, and ensure secure-by-design practices across all programs.

Qualifikationen

  • Bachelor's degree or equivalent with strong software foundations.
  • Experience designing production AI applications and APIs.
  • Ability to obtain/maintain U.S. government security clearance.

Aufgaben

  • Develop end-to-end AI solutions including LLM-powered apps and predictive models.
  • Implement reusable AI components and APIs to accelerate delivery.
  • Integrate AI models with enterprise data platforms and cloud services.
  • Drive model experimentation, prototyping, and evaluation cycles.
  • Design prompt strategies, retrieval and context management layers.
  • Build scalable inference services and monitor AI deployments.
  • Collaborate with product teams, designers, and mission stakeholders.
  • Mentor junior developers and promote engineering excellence.

Kenntnisse

Python
AI/ML development
LLM architectures
Distributed systems
Cloud platforms
Containerization
CI/CD for AI
API design
Multi-agent systems

Ausbildung

Bachelor's degree
Security clearance eligibility

Tools

Docker
Kubernetes
PyTorch
TensorFlow
LangChain
LlamaIndex

Jobbeschreibung

Steampunk is seeking a Senior AI Developer in the United States, Virginia (McLean) to design, build, and optimize cutting-edge AI capabilities across predictive, generative, and autonomous domains. You’ll own end-to-end AI delivery from data ingestion to deployment, collaborating with data scientists, LLMOps, and product teams.

You will architect scalable AI solutions, implement reusable components, and ensure secure-by-design practices across all programs.

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