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AI Engineer

Skills
APIWeb ApplicationsContextDatabasesEasily AdaptableEngineeringOptimization
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong foundation in Python LLMs and agentic architectures
  • Experience in prompt engineering context optimization and AI pipeline design
  • Comfortable building fast prototypes and testing model behavior in varied complex contexts
  • Curious pragmatic and unafraid to experiment
  • Able to turn uncertainty into working systems

Nice to have

  • Curious
  • Pragmatic
  • Experimental
  • Adaptable
  • Bias for action

Day to day

  • Develop, optimize, and maintain agentic AI pipelines for automation and workflow intelligence
  • Experiment with prompt engineering context tuning and model orchestration to improve performance and adaptability
  • Work with vector databases RAG and related frameworks to deliver contextual intelligence
  • Collaborate with engineers and product teams to integrate AI systems into real-world workflows
  • Continuously refine models through experimentation data feedback and iterative development