Job Description

Interface AI is building a universal banking assistant powered by a proprietary BankGPT platform. They are seeking a Staff Engineer – Core AI to design, experiment, and scale the next generation of LLM-powered multi-agent systems that enable intelligent, secure, and compliant automation for financial institutions.

Responsibilities

• Building fine-tuning pipelines
• Exploring open-weight models
• Benchmarking model performance
• Driving high-throughput, low-latency inference strategies
• Designing data-safe pipelines with encryption
• Implementing automated PII detection and masking
• Applying Reinforcement Learning (RLHF/RLAIF)
• Exploring speech model architectures (ASR/TTS)
• Rapidly prototyping emerging models
• Collaborating with research and backend teams
• Create fine-tuning workflows using LoRA, PEFT, and instruction-tuning pipelines
• Manage large-scale training datasets
• Build self-evolving prompt evaluation loops
• Optimize model inference through quantization, batching, caching
• Develop novel encryption and key management techniques
• Implement policy layers that enforce safety
• Develop and optimize speech-to-speech pipelines
• Establish evaluation harnesses
• Explore the latest advancements in open-source LLMs and reinforcement learning

Requirements

• 2+ years of experience working with transformer architectures and LLM fine-tuning
• Hands-on experience with RLHF/RLAIF
• Deep knowledge of auto-prompting
• Experience improving throughput, quantization, and token efficiency
• Knowledge of PII masking, data encryption, and secure model pipelines
• Experience with PyTorch, Transformers, Deep Speed, Hugging Face, LangChain, or vLLM

Benefits

• No benefits