Senior Staff AI Engineer

8+ years software development experience, with 3+ years of hands-on experience in developing and successfully deploying production-level AI applications that have been used by real customers or internal stakeholders.

Expert-level experience with LangGraph to model and orchestrate complex, stateful multi-step reasoning and control flow in LLM applications.

Expert-level proficiency in developing sophisticated agentic solutions, with a portfolio demonstrating advanced use of planning, memory management, tool integration, and control flow.

Deep understanding of Large Language Model (LLM) architectures, prompt engineering, retrieval-augmented generation (RAG), and advanced text generation techniques.

Deep expertise in building or extending inference engines (e.g., vLLM, NVIDIA Triton, or TGI) and managing the underlying Kubernetes/GPU orchestration for custom model deployments.

Deep experience designing and institutionalizing AI observability solutions (e.g., LangSmith, Arize, Deepchecks) and advanced tracing and testing methodologies for LLM and agentic systems.

is a hands-on AI engineering role in SoFi’s growing independent risk organization.

This is a critical, senior role responsible for setting the technical direction, driving execution, and ensuring the successful delivery of our most complex, production-level AI initiatives.

This role will be instrumental in conceptualizing, prototyping and implementing best-in-class AI-based solutions to meet risk management and compliance requirements.

This hands-on role will work closely with the Director of Risk Analytics, and will leverage your deep expertise to solve our hardest problems, mentor the next generation of engineers, and directly connect technical innovation to major business success.

Architecture and Strategy:

Define the long-term technical architecture and strategy for our next-generation AI platform, particularly focusing on robust, scalable agentic frameworks and LLM deployment patterns.