Senior NLP Engineer

Tasks

• Build LLM orchestration systems
• Collaborate on experiments and evaluations
• Deploy language models
• Design agentic pipelines
• Evaluate model quality and performance
• Fine-tune language models
• Implement DPO
• Implement RLHF
• Implement Reasoning Loops
• Manage LLM lifecycle end to end
• Monitor production model performance
• Optimize language model performance
• Prepare training data
• Research NLP techniques
• Support scalable model inference
• Train large language models

Perks/Benefits

• Annual vacation
• Conference support
• English language learning discounts
• Fully remote work
• Health support budget
• Home office setup allowance
• Performance bonuses
• Professional development support
• Wellness days

Skills/Tech-stack

Agentic Frameworks | Csharp | Data Preparation | Direct Preference Optimization | Distributed Training | Go | High Throughput | High-throughput inference | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reasoning systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers