Senior Applied & Agentic AI Engineer
Telecommuter TN, United States
R
USD 100K-115K (estimate) Senior-level Full Time
Tasks
- Build evaluation frameworks for LLM and agent performance
- Build stateful memory aware AI systems
- Coordinate multi agent collaboration for claims risk and fraud
- Create deterministic guardrails and schema validation pipelines
- Define prompt engineering standards and reasoning templates
- Define retrieval augmented generation strategy
- Design embedding strategies and vector indexing architecture
- Design multi agent orchestration and automation
- Develop document intelligence systems with LLMs
- Ensure responsible AI governance and compliance
- Establish orchestration frameworks for routing context and failure handling
- Implement agent planning reasoning and tool execution
- Implement observability for agent decisions and retrieval
- Implement secure tool integration layers
- Lead enterprise LLM and agentic AI architecture
- Mentor engineers on safe agent design
- Optimize token efficiency caching batching and inference scaling
- Partner with security and data governance teams for deployment patterns
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Agent systems | Audit Logging | Batching | Caching | Cloud Native | Deterministic Guardrails | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Guardrails | Language Models | Large Language Models | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Schema Validation | Structured outputs | System Reliability | Token optimization | Tool integration | Vector Databases
Education
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