AI Engineer
Tasks
- Apply document chunking and embeddings
- Build and maintain end-to-end data pipelines
- Clarify AI use case for clients
- Collaborate with cross-functional teams in agile delivery
- Deploy and monitor machine learning models
- Design agentic solutions with context and memory
- Evaluate and test agent behavior
- Implement agent workflows with tools and skills
- Optimize data and ML workflows for performance
- Use observability tools for AI debugging
Perks/Benefits
- Agile team collaboration
- Multidisciplinary team environment
- Personal coach
- Professional growth plan
- Work-life balance
Skills/Tech-stack
Agent Framework | Agent Frameworks | CI/CD | Data Pipelines | Debugging | Document chunking | Embeddings | Generative AI | Langchain | Langfuse | Langgraph | Language Processing | Machine Learning | Mastra | Microsoft Agent | Microsoft Agent Framework | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Observability | Promptfoo | Stochastic Testing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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