SoFi
Senior Staff AI Engineer
CA - San Francisco +1 · Senior Staff · Full-time · Posted Jan 22, 2026
- Location
- CA - San Francisco
DE - Greenville - Experience
- 8+ years software development experience, with 3+ years of hands-on experience developing and deploying production-level AI applications.
- Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field; PhD is a plus.
About the job
Leads the architecture and delivery of production AI systems for risk management and compliance, including agentic LLM platforms, model optimization, and serving infrastructure.
What you'll do
- Set AI platform architecture and strategy; build scalable agent frameworks and LLM orchestration.
- Develop agent state and memory infrastructure, optimize models, and support high-throughput model serving.
- Establish AI observability and testing standards, mentor engineers, and coordinate cross-functional delivery.
What they ask for
- Bachelor’s or Master’s degree in a related field.
- 8+ years software development experience, including 3+ years developing and deploying production-level AI applications.
- Expert-level LangGraph and Python; demonstrated agentic AI expertise and experience with PEFT, inference engines, and Kubernetes/GPU orchestration.
- Experience with AI observability, cloud platforms, containerization, and AI APIs or microservices in banking applications.
Nice to have
- React.
- Familiarity with banking AI regulation and ethics, or experience in banking and financial services use cases.
Tools
LangGraph, LoRA, vLLM, NVIDIA Triton, TGI, Kubernetes, Docker, Python
AI focus
Builds and operates agentic LLM systems for risk and compliance, including orchestration, persistent memory, fine-tuning, model serving, observability, and testing.
Model-written summary · the original posting is authoritative