AI Engineer
Tasks
- Build reusable AI services APIs and prompts
- Collaborate with scrum team to plan estimate and deliver each sprint
- Create data pipelines and evaluation patterns
- Design build and enhance AI enabled product experiences
- Develop full-stack application features
- Ensure reliability security scalability and usability
- Evaluate and prototype AI tools models and frameworks
- Implement vector database and retrieval pipelines
- Integrate AI and LLM APIs with internal data sources
- Integrate large language models and machine learning into business workflows
- Maintain documentation for features integrations and processes
Perks/Benefits
Skills/Tech-stack
.NET | AI Foundry | API Integration | Angular | Azure AI | Azure AI Foundry | Azure Cognitive | Azure Cognitive Services | Azure DevOps | Azure OpenAI | C# | Cognitive Services | Git | GitHub Actions | Information Retrieval | LLM integration | Language Processing | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Predictive Modeling | Prompt engineering | Recommendation Systems | Retrieval-Augmented Generation | SQL | Vector Databases
Roles
AI | AI Engineer | Engineer | Full Stack | Full-stack Software Engineer | Software Engineer
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