Senior AI Engineer
California, California, United States
A USD 119K-180K (estimate) Senior-level Full Time
Tasks
- Apply Retrieval Augmented Generation
- Architect API first AI services
- Build RAG pipelines
- Build advisor copilots and decision support
- Build intelligent document processing systems
- Build tool use and agent workflows
- Create knowledge assistants and enterprise search
- Create model routing evaluation and monitoring
- Deploy lifecycle managed AI systems
- Design AI security and compliance systems
- Design scalable AI platforms for LLMs
- Develop evaluation frameworks for accuracy and hallucination detection
- Develop prompt management frameworks
- Enable safe AI deployment in distributed environments
- Establish benchmarking and observability standards
- Implement LLMOps MLOps pipelines
- Implement fine tuning and embeddings
- Implement guardrails auditability and explainability
- Implement multi model governance strategies
- Implement multi model orchestration
- Integrate and optimize frontier LLM providers
- Optimize context and memory systems
- Optimize latency throughput and cost
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Auditability | Azure | Context Optimization | Continuous Deployment | Continuous integration | Embeddings | Explainability | Faiss | Fine Tuning | Google Cloud | Guardrails | LLM Architecture | LLMOps | Langchain | Llamaindex | LoRA | MLOps | Microservices | Model Evaluation | Model Monitoring | Pinecone | Prompt engineering | Python | RAG | Transformer Models | Vector Database
Education
N/A
Roles
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