Applied & Agentic AI Engineer
USD 105K-120K (estimate) Senior-level Full Time
Tasks
- Add guardrails and hallucination mitigation
- Architect LLM powered AI solutions
- Build autonomous agents
- Build document intelligence pipelines
- Build embedding pipelines and vector indexing
- Create structured prompt frameworks
- Deploy AI microservices
- Deploy agentic AI workflows
- Design retrieval-augmented generation systems
- Develop evaluation frameworks
- Develop multi-agent systems
- Enable function calling tool use
- Enforce structured outputs with schemas
- Ensure responsible AI compliance
- Implement human-in-the-loop checkpoints
- Implement monitoring and drift detection
- Implement planning and reflection loops
- Integrate AI into claims workflows
- Maintain audit logs
- Measure business impact
- Optimize token consumption and latency
- Orchestrate stateful workflows
Perks/Benefits
Skills/Tech-stack
API Integration | Access Controls | Agent systems | Audit Logging | Azure OpenAI | CI/CD | Containerization | Distributed Systems | Document Intelligence | Drift Detection | Embeddings | Event Driven | Event-driven architecture | Function Calling | LLM Evaluation | Language Models | Large Language Models | Microservices | Model Drift | Model Drift Detection | Monitoring | Multi-Agent | Multi-Agent Systems | Python | Retrieval-Augmented Generation | Schemas | Structured Output | Token optimization | Vector Search | Vector indexing | Workflow Orchestration
Education
Roles
AI Engineer | Agentic AI Engineer | Applied AI Engineer | Engineer
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