Senior NLP Engineer
Tasks
- Design build and maintain agentic frameworks
- Design experiments to measure model quality and performance
- Develop backend systems for high throughput model inference
- Implement alignment methods such as RLHF and DPO
- Implement reasoning loops and chat orchestration
- Own end to end LLM lifecycle including data preparation training deployment and monitoring
- Research and evaluate NLP techniques and translate improvements
- Train, fine-tune, and optimize Large Language Models
Perks/Benefits
- Conference support
- English language learning discounts
- Fully remote
- Health support budget
- Home office or coworking allowance
- Paid vacation
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Workflows | C# | Chatbot Development | DPO | Data Preparation | Direct Preference Optimization | Distributed Training | Fine Tuning | Go | High Throughput | High-Throughput Systems | Human Feedback | Inference Optimization | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Model Deployment | Model Training | Natural Language | Natural Language Processing | Preference optimization | Production Monitoring | PyTorch | Python | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformer Architectures
Education
N/A
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