Senior Applied & Agentic AI Engineer
Telecommuter TN, United States
R
USD 100K-115K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering standards and reasoning templates
- Architect stateful memory aware AI systems
- Build document intelligence systems
- Build multi agent collaboration models
- Build observability layers for agent decisions and tool usage
- Define RAG strategy
- Deliver proof of concepts to production with ROI
- Design embedding strategies and vector indexing architecture
- Design multi-agent orchestration
- Ensure Responsible AI compliance and audit requirements
- Establish orchestration frameworks for task routing and context persistence
- Implement agent planning reasoning tool execution and recovery
- Implement deterministic guardrails schema validation and output verification
- Implement evaluation frameworks for LLM reliability and workflow accuracy
- Integrate secure agent tool layers with enterprise systems
- Lead enterprise LLM system architecture and delivery
- Mentor engineers on safe agent design
- Optimize retrieval and knowledge grounding
- Optimize token efficiency caching batching and inference scaling
- Partner on secure deployment patterns
Perks/Benefits
Skills/Tech-stack
API Integration | Agent systems | Audit Logging | Batching | Benchmarking | Caching | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Guardrails | Language Models | Large Language Models | Microservices | Model Evaluation | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Schema Validation | Secure deployment | Structured Output | Token optimization | Tool integration | Vector Databases
Education
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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