AI Engineer
Tasks
- Apply best practices for prompt design evaluation versioning
- Build prompt pipelines and orchestration workflows
- Define solution architecture for enterprise AI platforms
- Deploy solutions from design through production iteration
- Design retrieval-augmented generation pipelines
- Develop generative AI applications using large language models
- Enable non software practitioners to use GenAI tools
- Ensure compliance with enterprise AI policies and risk controls
- Ensure reliability scalability and maintainability in production
- Evaluate and test GenAI solutions
- Implement automated build test deployment and monitoring
- Incorporate user feedback and operational signals
- Mentor AI engineers and associates
- Select models and tools for quality latency cost security
- Translate business needs into technical solutions
Perks/Benefits
- Employee assistance program
- Mindfulness programs
- Professional development course library
- Volunteer donation matching
- Volunteer time off
- Wellbeing programs
Skills/Tech-stack
Automated testing | CI/CD | Cloud Computing | Language Models | Large Language Models | Model Evaluation | Monitoring | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
AI | AI Engineer | Engineer
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