Added
7 days ago
Type
Contract
Salary
Salary not provided

Related skills

azure java aws gcp llms

πŸ“‹ Description

  • Design and implement AI-driven solutions addressing business priorities; integrate with existing
  • Translate generative AI concepts into practical, scalable, production-ready implementations.
  • Develop AI engineering solutions with LLMs, AI tools, and intelligent workflows.
  • Contribute to agentic workflows and performance engineering for scalable AI applications.
  • Collaborate with stakeholders and distributed/offshore teams to deliver AI initiatives.
  • Support AI-enabled web/UI implementations and integrate AI services with cloud environments.

🎯 Requirements

  • At least 1 year of hands-on AI engineering experience (LLMs, AI tools, or applied AI) with strong
  • Proven track record building and deploying real-world AI solutions.
  • Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI techniques.
  • Experience designing interoperable solutions that integrate AI with existing enterprise systems.
  • Familiarity with AWS, Azure, or GCP and integrating cloud-based AI services.
  • Understanding of data pipelines and security best practices for AI applications; UI/AI-enabled

🎁 Benefits

  • Flexible contract engagement with openness to candidates globally.
  • Hands-on Generative AI and agentic technology initiatives.
  • Exposure to enterprise-scale AI adoption, cloud platforms, and data pipelines.
  • Collaborate with distributed engineering teams and stakeholders.
  • High-impact environment contributing to scaling AI capabilities.
  • Flexibility to operate across time zones and evolving project requirements.
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