AI Lead Engineer
USD 116K-203K (estimate) Senior-level Full Time
Tasks
- Architect govern multi step reasoning AI agents
- Build retrieval-augmented generation pipelines
- Define generative AI technical vision roadmap architecture
- Develop prompt tooling and prompt engineering
- Drive experimentation and responsible AI governance
- Enable tool calling and workflow orchestration
- Establish genAI engineering best practices secure prompt handling evaluation monitoring logging
- Govern cost across model families
- Implement agentic AI multi agent orchestration
- Implement model fine tuning and customization pipelines
- Implement response and retrieval caching
- Integrate Copilot Studio based agents into workflows
- Lead design and implementation of generative AI platform components
- Mentor engineers and guide agentic systems design
- Optimize LLM inference latency and throughput
- Select configure and deploy LLM models
- Translate interaction history into reusable production solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent memory | Agentic AI | Caching | Cost governance | Evaluation Frameworks | Fine Tuning | Generative AI | Human-in-the-loop | Inference Optimization | Java | LLM Inference | LLM Inference Optimization | Language Models | Large Language Models | Latency optimization | Logging | Machine Learning | Model Fine-tuning | Monitoring | Multi-Agent | Multi-agent orchestration | Prompt Tuning | Prompt engineering | Prompt tooling | Python | Quantization | RAG | Retrieval-Augmented Generation | State management | The Loop | Throughput Optimization | Tool-Calling | Workflow Orchestration
Education
Roles
AI | AI Lead | AI Lead Engineer | Engineer | Lead Engineer | Learning Engineer | Machine Learning Engineer
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