AI Engineer
A USD 160K-160K Senior-level Full Time
Tasks
- Build LLM evaluation frameworks
- Build observability and debugging tools
- Define success metrics and feedback loops
- Design RAG pipelines
- Develop safety and compliance systems
- Implement AI guardrails
- Implement chunking strategy
- Implement embedding pipelines
- Integrate vector databases
- Monitor model quality
- Optimize latency reliability and scalability
- Optimize retrieval quality
- Orchestrate multi-agent workflows
- Set up automated regression testing
Perks/Benefits
- N/A
Skills/Tech-stack
Arize | Asyncio | Authentication and Authorization | Autogen | BLEU | Cloud platform | CrewAI | Embeddings | FastAPI | Flask | Google Cloud | Google Cloud Platform | Guardrails AI | Haystack | Hugging Face | Human evaluation | LLM-as-a-Judge | Langchain | Langfuse | Langgraph | Langsmith | Language Model | Large Language Model | Latency optimization | Llama Guard | Nemo Guardrails | Observability | OpenAI | PGVector | PII Redaction | Performance Profiling | Pinecone | Prompt engineering | Python | Qdrant | RBAC | ROUGE | Relevance metrics | Reranking | Retrieval-Augmented Generation | Vector Database | Weaviate
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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