Staff AI Engineer
Builds and deploys fine-tuned LLMs and AI agents for real-time voice interactions in consumer lending, ensuring compliance and scalability. Requires 2+ years production ML/AI experience with Python, PyTorch/TensorFlow, and LLM frameworks.
About the job
What You'll Do
- AI Model Integration: Fine-tune and deploy LLMs for real-time voice-based borrower interactions
- Prompt Engineering: Design and iterate on prompt strategies to optimize AI performance and compliance
- Evaluate LLMs and AI Agents: Build high quality evals using our proprietary datasets to benchmark AI agent performance and run experiments
- Custom AI Solutions: Train and implement domain-specific AI models for consumer lending
- Scalability & Compliance: Ensure AI solutions meet regulatory standards (FDCPA, RESPA, TILA) and scale efficiently
- Data Pipelines & APIs: Build robust AI-driven workflows that integrate seamlessly with loan servicing platforms
- Continuous Optimization: Monitor performance metrics and continuously improve agent quality and borrower experience
What We're Looking For
- 2+ years building and deploying ML/AI systems in production environments
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch)
- Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar)
- Track record of shipping AI products that real users depend on
- Strong product mindset and ability to translate business requirements into AI solutions
- Excellent communication skills to collaborate across product, engineering, and compliance teams
Skills
Python, PyTorch, TensorFlow, LangChain, Llamaindex, LLMs, Prompt Engineering, Machine Learning, Deep Learning, AI Agents
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