Added
7 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure java aws gcp data pipelines
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๐Ÿ“‹ Description

  • Design and implement AI-driven solutions addressing business and executive priorities with
  • Translate Generative AI concepts into practical, scalable, production-ready implementations.
  • Develop AI engineering solutions involving LLMs, AI tools, and applied AI systems.
  • Contribute to agentic workflows and performance engineering for AI applications.
  • Collaborate with internal stakeholders and distributed/offshore teams to deliver AI initiatives.
  • Help identify AI expertise gaps and support knowledge sharing and scalable internal capabilities.

๐ŸŽฏ Requirements

  • At least 1 year of hands-on AI engineering experience (LLMs, AI tools, or applied AI) with strong
  • Proven experience building and deploying real-world AI solutions, not just theoretical concepts.
  • Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI techniques.
  • Experience designing interoperable solutions that integrate AI with existing applications and
  • Familiarity with AWS, Azure, or GCP and experience integrating cloud-based AI services.
  • Understanding of enterprise-scale AI projects, data pipelines, and AI security best practices.

๐ŸŽ Benefits

  • Flexible contract engagement with openness to candidates globally.
  • Opportunity to work on practical Generative AI and agentic technology initiatives.
  • Exposure to enterprise-scale AI adoption, cloud platforms, data pipelines, and AI app development.
  • Collaboration with distributed engineering teams and internal technology stakeholders.
  • High-impact environment where your work scales AI capabilities.
  • Flexibility and autonomy across time zones and evolving projects.
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