Added
14 days ago
Type
Contract
Salary
Salary not provided

Related skills

azure java aws gcp llms
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๐Ÿ“‹ Description

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

๐ŸŽฏ Requirements

  • At least 1 year of hands-on AI engineering experience with LLMs, AI tools, or applied AI systems
  • Proven experience building and deploying real-world AI solutions.
  • Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI techniques.
  • Experience designing interoperable AI solutions with existing applications and enterprise systems.
  • Familiarity with AWS, Azure, or GCP and 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 across global locations.
  • 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.
  • Collaborate with distributed engineering teams and internal technology stakeholders.
  • High-impact environment where work directly scales AI capabilities.
  • Flexibility to operate across time zones and evolving project requirements.
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