AI Engineer
Tasks
- Apply document chunking and embeddings
- Architect agentic solutions
- Build AI evaluation and testing frameworks
- Build ML workflows
- Clarify client AI requirements
- Collaborate with cross-functional teams
- Contribute to AI practice strategy
- Debug and improve AI systems
- Determine AI suitability
- Develop end-to-end data pipelines
- Identify new AI business opportunities
- Implement context memory and tool handling
- Mentor and share knowledge
- Use observability for AI behavior
- Validate deploy monitor and maintain models
Perks/Benefits
Skills/Tech-stack
Agentic Systems | Artificial Intelligence | Data Pipelines | Debugging | Document chunking | Embeddings | Langchain | Langfuse | Langgraph | MLOps | Machine Learning | Model Deployment | Model Evaluation | Monitoring | Observability | Prompt engineering | Promptfoo | Redlining | Stochastic Testing | UX Design
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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