Generative AI Engineer
USD 138K-213K (estimate) Senior-level Full Time
Tasks
- Build RAG applications
- Build retrieval systems with hybrid search
- Collaborate with business owners to translate requirements
- Create golden datasets and automated evaluation harnesses
- Define retrieval quality and answer grounding metrics
- Deliver GenAI solutions end to end
- Design and implement GenAI applications
- Document designs and create implementation playbooks
- Embed guardrails security and privacy controls
- Establish evaluation and quality controls
- Implement caching and rate limiting
- Implement permission-aware retrieval
- Instrument observability and safe rollout patterns
- Operationalize GenAI with LLMOps
Perks/Benefits
- 401k matching
- Generous paid time off
- Health, dental, vision benefits
- Work from home equipment provided
Skills/Tech-stack
AWS | Azure | Caching | Cloud platform | Databricks | Docker | Elasticsearch | Evaluation | Faiss | FastAPI | Flask | Google Cloud | Google Cloud Platform | Hallucination mitigation | Hybrid search | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Milvus | Observability | OpenSearch | OpenTelemetry | Permissioning | Pinecone | Python | Query rewriting | RAG evaluation | Rate Limiting | Re-ranking | Retrieval-Augmented Generation | SQL | Semantic Kernel | Snowflake | Terraform | Vector Search | Weaviate | Weights and Biases
Education
Master of Applied Science | Master of Engineering | Master of Science
Regions
Countries
States
Cities
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