Senior AI Developer: Build Production-Grade AI Systems

UNAVAILABLE

McLean (VA)

Vor Ort

USD 180.000 - 240.000

Vollzeit

14 Tage+
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Zusammenfassung

Unknown company is seeking a Senior AI Developer to design, build, and optimize AI capabilities across predictive, generative, and autonomous systems. You will work end-to-end from data ingestion to deployment, collaborating with product teams and mission stakeholders.

You’ll apply experience with modern AI architectures, production APIs, and cloud platforms, while following responsible AI practices and ensuring secure, scalable solutions.

Qualifikationen

  • Public trust with the U.S. government is required.
  • Strong hands-on software engineering experience with 5+ years.
  • 2+ years focused on AI/ML, generative AI, or LLM-driven development.
  • Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, transformers).

Aufgaben

  • Develop end-to-end AI solutions including LLM-powered apps and predictive models.
  • Build reusable AI components, libraries, and APIs for scalable delivery.
  • Integrate AI models with enterprise systems and data platforms.
  • Drive experimentation, prototyping, and model improvement cycles.
  • Design prompt strategies, context management, and retrieval systems.
  • Build scalable inference services and monitor production deployments.
  • Collaborate with product teams, designers, and mission stakeholders.
  • Implement safe-by-design and responsible AI practices with guardrails.

Kenntnisse

Python
AI/ML
LLM frameworks
Prompt engineering
Distributed systems

Ausbildung

Bachelor’s, Master’s, or Ph.D. in Computer Science/AI/ML/Software Engineering

Tools

Docker
Kubernetes
CI/CD
API design

Jobbeschreibung

Unknown company is seeking a Senior AI Developer to design, build, and optimize AI capabilities across predictive, generative, and autonomous systems. You will work end-to-end from data ingestion to deployment, collaborating with product teams and mission stakeholders.

You’ll apply experience with modern AI architectures, production APIs, and cloud platforms, while following responsible AI practices and ensuring secure, scalable solutions.

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