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AI Engineer

Skills
Cloud ComputingComputer ScienceAnalytical SkillsArtificial IntelligenceBusinessBusiness RequirementsEngineering
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in Engineering Computer Science or related field or equivalent experience
  • Minimum 4 years building AI-powered applications or systems
  • Strong programming skills Python preferred
  • Experience with APIs microservices and system integrations
  • Understanding of LLMs prompt engineering and RAG concepts
  • Experience with cloud platforms Azure preferred AWS or GCP acceptable
  • Experience with Azure OpenAI Semantic Kernel LangChain or similar frameworks
  • Experience building AI agents copilots or automation solutions
  • Familiarity with vector databases embeddings and search architectures
  • Experience integrating with enterprise SaaS platforms
  • Understanding of security governance and responsible AI practices
  • Strong problem-solving and analytical skills with attention to detail
  • Ability to collaborate effectively and communicate technical concepts clearly
  • Ability to operate independently with minimal supervision
  • Comfortable managing multiple changing priorities and deadlines
  • Self-motivated with a strong desire to learn and grow

Nice to have

  • Self-motivated
  • Detail-oriented
  • Collaborative
  • Analytical
  • Innovative
  • Independent

Day to day

  • Design and build AI-powered applications agents copilots and intelligent workflows for enterprise use cases
  • Develop solutions with LLMs RAG architectures and orchestration frameworks to improve productivity and automation
  • Integrate AI capabilities with enterprise platforms and cloud services while ensuring scalable secure production deployments

Hiring process

  • Email recruiting@trace3.com for accommodation if needed