Added
7 days ago
Type
Contract
Salary
Salary not provided

Related skills

azure java aws gcp data pipelines

πŸ“‹ Description

  • Design and implement AI-driven solutions that address business and executive priorities while
  • Translate Generative AI concepts, emerging technologies, and agentic approaches into practical
  • Develop AI engineering solutions involving LLMs, AI tools, applied AI systems, and intelligent
  • Contribute to agentic workflows and performance engineering frameworks that improve the scalability
  • Collaborate with internal stakeholders and distributed or offshore engineering teams to deliver AI
  • Help identify gaps in AI expertise and contribute to knowledge sharing, technical enablement, and

🎯 Requirements

  • At least 1 year of hands-on experience in AI engineering, including LLMs, AI tools, or applied AI
  • Demonstrated experience building and deploying real-world AI solutions rather than focusing solely
  • Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI
  • Experience designing interoperable solutions that integrate AI capabilities with existing
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and experience integrating cloud-based
  • Understanding of enterprise-scale AI projects, data pipelines, and security best practices for AI

🎁 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 application
  • Opportunity to collaborate with distributed engineering teams and internal technology stakeholders.
  • High-impact environment where your work can directly contribute to scaling AI capabilities.
  • Flexibility and autonomy to operate effectively across time zones and evolving project requirements.
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