Added
14 days ago
Type
Contract
Salary
Salary not provided

Related skills

azure java aws gcp ai
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πŸ“‹ Description

  • Design and implement AI-driven solutions addressing business and executive priorities while
  • Translate Generative AI concepts and agentic approaches into practical, production-ready
  • Develop AI engineering solutions involving LLMs, AI tools, applied AI systems, and intelligent
  • Contribute to agentic workflows and performance engineering frameworks to improve AI scalability
  • Collaborate with internal stakeholders and distributed/offshore teams to deliver AI initiatives and
  • Help identify gaps in AI expertise and contribute to knowledge sharing and scalable internal

🎯 Requirements

  • At least 1 year of hands-on AI engineering experience, including LLMs or applied AI systems, with
  • Proven ability to build and deploy 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 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 app development.
  • Opportunity to collaborate with distributed engineering teams and internal technology stakeholders.
  • High-impact environment where your work contributes to scaling AI capabilities.
  • Flexibility to operate across time zones and evolving project requirements.
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