AI Engineer
Tasks
- Build prompt systems for enterprise workflows
- Build reliable agent workflows
- Deploy AI systems on production infrastructure
- Design build and deploy production AI features
- Design evaluation frameworks
- Develop AI agents and orchestration pipelines
- Develop production software
- Evaluate foundation models and agent frameworks
- Improve AI output quality
- Translate business requirements into AI capabilities
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS Bedrock | AWS Lambda | Amazon ECS | Amazon ECS Fargate | Distributed Computing | ECS Fargate | Fine Tuning | Function Calling | Google Vertex | Google Vertex AI | LLM | Model Evaluation | Model Fine-tuning | Model selection | Node.js | Orchestration | PGVector | Prompt engineering | Python | Reinforcement Learning | Retrieval-Augmented Generation | Structured outputs | TypeScript | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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