Senior AI Engineer

What you'll be doing:

• Design and implement production-scale AI agent systems and orchestration frameworks.
• Lead architecture for multi-agent systems handling complex business workflows.
• Optimize deployment strategies using both LLMs and SLMs based on use case requirements.

AI/ML Implementation & Optimization:

• Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
• Implement quantization strategies and model distillation for edge deployment.
• Build evaluation frameworks including LLM-as-judge systems and regression testing.

Data & Infrastructure:

• Build data pipelines for training data curation, synthetic generation, and PII masking.
• Implement RLHF/RLAIF feedback loops for continuous improvement.
• Design experiment tracking and model registry systems.