Senior Applied & Agentic AI Engineer
Telecommuter TN, United States
R
USD 105K-160K (estimate) Senior-level Full Time
Tasks
- Add observability for agent decisions and retrieval effectiveness
- Architect stateful memory aware AI systems
- Build document intelligence systems with LLMs
- Build multi agent collaboration models
- Define prompt engineering standards and reusable templates
- Define technical strategy for RAG and agent orchestration
- Design agentic planning reasoning and tool execution
- Design embedding and vector indexing architecture
- Design secure tool integration layers
- Ensure responsible AI and governance compliance
- Establish orchestration frameworks for routing and context persistence
- Implement deterministic guardrails schema validation and output verification
- Implement evaluation and benchmarking frameworks
- Lead architecture and delivery of LLM systems
- Lead proof of concept to production deployment
- Mentor engineers on LLM orchestration patterns
- Optimize token efficiency caching batching and inference scaling
- Translate business objectives into AI platform capabilities
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Audit Logging | Batching | Benchmarking | Caching | Distributed Systems | Embeddings | Evaluation Frameworks | Event Driven | Event-driven architecture | Guardrails | Inference scaling | Knowledge grounding | Language Models | Large Language Models | Microservices | Multi-Agent | Multi-agent orchestration | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Schema Validation | Structured Output | Token optimization | Vector Databases
Education
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