Lead AI Engineer
Tasks
- Build and operate agentic LLM systems
- Curate supervised fine tuning and preference datasets
- Design instruction tuning and preference optimization pipelines
- Develop model evaluation and benchmarking
- Establish LLM versioning experimentation and deployment governance
- Implement memory and tool calling strategies
- Implement prompting and retrieval augmented generation
- Lead supervised fine tuning in production
- Mentor engineers on applied AI and LLM systems
- Monitor performance and detect regressions
- Own post training lifecycle of large language models
- Run online experiments and A B tests
Perks/Benefits
- Dental insurance
- Employee discounts
- Employee equity
- Health insurance
- Pet insurance
- Unlimited PTO
- Vision insurance
- Wellness programs
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | Agentic LLM | Agentic LLM systems | B testing | Direct Preference Optimization | Distributed Training | Evaluation & benchmarking | Fine Tuning | Instruction Tuning | LLM Systems | Language Models | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | OpenAI API | Preference optimization | Prompt engineering | PyTorch | Python | RAG | RLHF | Regression Detection | Retrieval-Augmented Generation | Supervised Fine Tuning | Tool-Calling | Workflow Orchestration
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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