Senior AI Engineer
Tasks
- Build evaluation datasets and benchmarks
- Build prompt pipelines
- Build retrieval systems using embeddings and chunking
- Collaborate with product teams on AI feature scoping
- Conduct code reviews and design discussions
- Debug non deterministic system behavior
- Design AI-powered features
- Design agentic workflows with planning execution and reflection
- Design guardrails for reliability safety and governance
- Implement RAG workflows
- Implement automated evaluation pipelines
- Implement monitoring and observability for AI systems
- Integrate agents with tools APIs and internal systems
- Mentor engineers
- Mitigate hallucinations prompt injection and model misuse
- Own AI system lifecycle from prototyping to deployment
- Run experiments and track AI performance metrics
- Select and evaluate AI models
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic Workflows | Artificial Intelligence | Embeddings | Evaluation datasets | Experimentation | Hallucination mitigation | Information Retrieval | Java | JavaScript | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Observability | Prompt engineering | Prompt injection | Python | RAG | Retrieval-Augmented Generation | Vector Search
Education
N/A
Roles
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