Senior Specialist, AI Engineer
SGD 92K-170K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines
- Collaborate with cross-functional stakeholders
- Create prompt and tool schemas
- Define quality metrics and guardrails
- Design LLM and NLP solution architecture
- Develop agent workflows and tool routing
- Ensure data privacy and compliance
- Implement evaluation harnesses
- Lead feature engineering strategy
- Optimize model cost and latency
- Perform code reviews and mentor juniors
- Productionize AI services with CI CD
- Set up observability and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Audit trails | Azure | Azure Databricks | BM25 | Batching | Best practices | Bias detection | CI/CD | Caching | CrewAI | Data Privacy | Dense retrieval | Distributed tracing | Docker | Drift monitoring | Explainability | Fairness | Fine Tuning | Function Calling | GCP | Hugging Face | Hyperparameter Tuning | Integration Testing | Kubernetes | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Llamaindex | Milvus | NLP | Observability | Pinecone | Prompt engineering | PromptLayer | PySpark | PyTorch | Python | Quantization | Reranking | Retrieval-Augmented Generation | SQL | Security best practices | Streaming | Structured Logging | TensorFlow | Transformers | Unit Testing | Vector Databases | Weaviate | Weights & Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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