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AI Engineer
Skills
Cloud ComputingComputer ScienceAnalytical SkillsArtificial IntelligenceBusinessBusiness RequirementsEngineering
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
