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 addressing business and executive priorities.
  • Translate Generative AI concepts into practical, scalable, production-ready implementations.
  • Develop AI engineering solutions involving LLMs, AI tools, applied AI systems, and intelligent
  • Contribute to agentic workflows and performance engineering for AI applications.
  • Collaborate with internal stakeholders and distributed/offshore teams to deliver AI initiatives.
  • Identify gaps in AI expertise and help build scalable internal capabilities.

🎯 Requirements

  • At least 1 year of hands-on AI engineering experience (LLMs, AI tools, or applied AI) plus strong
  • Proven track record of building and deploying real-world AI solutions.
  • Strong understanding of modern AI trends, tools, and practical Generative AI techniques.
  • Experience designing interoperable solutions integrating AI with existing apps/enterprise systems.
  • Familiarity with AWS/Azure/GCP and cloud AI service integration.
  • Understanding of enterprise-scale AI projects, data pipelines, and security best practices for AI

🎁 Benefits

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