Lead Agentic AI Engineer
Tasks
- Apply fine tuning methods
- Build high quality datasets including synthetic data
- Design AI workflow system logic
- Develop evaluation methods for model outputs
- Implement reusable AI components
- Improve model reliability and response quality
- Integrate services models and data sources
- Iterate based on experimental results
- Optimize model performance for behaviors
- Run model experiments and analyze trade offs
- Tune models for tool and external system interaction
Perks/Benefits
- Brown Bag Talks
- Company hackathons
- Flexible working hours
- Great work-life balance
- Hybrid work model
- Paid vacation days
- Regular feedback
- Rooftop BBQ
- Team events
- Technical talks
- Training programs
Skills/Tech-stack
Dataset Engineering | Experimentation | Fine Tuning | Language Models | Large Language Models | LoRA | Machine Learning | Model Evaluation | PyTorch | Python | QLoRA | Rust | Synthetic data | TensorFlow | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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