Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role:
SoFi’s AI Specialist - GenAI, NLP (Banking/Financial Services) is a critical hands-on engineer position in SoFi’s growing independent risk organization focussed on applying data processing/reporting and practical artificial intelligence techniques to solve real world problems. This role will be instrumental in conceptualizing, prototyping and implementing best-in-class AI-based solutions to meet risk management requirements.
This hands-on individual contributor role will work closely with the Director of Risk Analytics, and will play a pivotal role in developing data, reporting, and infrastructure solutions supporting the risk function. This is a crucial role for the independent risk function as we execute our mission to help more members get their money right.
What you’ll do:
- Architect AI Solutions: Design and develop AI-based solutions leveraging available Generative AI (Gen AI), BERT based LLMs, and natural language processing to enable enhanced risk reporting, deeper insights, and automated risk management web applications and solutions.
- Develop Agent Systems: Serve as a subject matter expert in developing sophisticated agentic solutions utilizing Large Language Models (LLMs) to automate complex tasks and workflows.
- Implement AI Operations & Observability: Implement comprehensive AI observability solutions, including real-time monitoring, error tracking, and performance logging for deployed models.
- Model Optimization: Implement and manage parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and optimize pre-trained models for specific tasks with minimal computational overhead
- Cross Functional Collaboration: Coordinate with cross-functional teams to distill specific requirements, project roadmaps, and ensure accurate and on-time project deliveries
- Proof of Concepts & Proposals - Identify areas for process enhancements and automation to streamline workflows and increase productivity within the risk management function.
- AI Innovation: Stay up-to-date with the latest trends and advancements in GenAI, LLMs, and NLP, evaluating and experimenting with new techniques and tools to push the boundaries of AI innovation in the banking sector.
What you’ll need:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. PhD is a plus.
- 5+ 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 experience in developing agentic solutions, including familiarity with tool-use, planning, memory, and reflection patterns.
- Deep understanding of Large Language Model (LLM) architectures, prompt engineering, retrieval-augmented generation (RAG), and advanced text generation techniques.
- Direct experience implementing AI observability solutions (e.g., using tools like LangSmith, Arize, Weights & Biases) and establishing rigorous tracing and testing methodologies for LLM workflows.
- Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and optimize pre-trained models for specific tasks with minimal computational overhead.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Expert level Python is required.
- React is strongly preferred.
- Experience with large-scale data handling, including unstructured and structured data pipelines, with a strong preference for Snowflake and DynamoDB.
- Experience developing and integrating AI-powered APIs and microservices architecture into banking applications.
- Experience with vector databases and retrieval-augmented generation (RAG) techniques using systems like Elasticsearch, Pinecone, or FAISS for enhancing LLM performance.
- Expertise in AI system evaluation, including selection and application of appropriate performance metrics across diverse scenarios.
- Strong analytical and problem-solving skills with attention to detail and an ability to work with complex, large-scale systems.
- Strong collaboration skills, with experience working in agile, cross-functional teams.
Nice to have:
- Familiarity with regulatory frameworks and ethical considerations in AI within the banking industry (e.g., GDPR, data privacy, model explainability).
- Experience in banking or financial services use cases such as conversational AI for customer service, intelligent document processing for loan applications, fraud detection, or risk analysis.
Top Skills
What the Team is Saying
What We Do
For over a decade, SoFi has helped transform the Fintech industry by creating financial products and services that help people borrow, save, spend, invest, and protect their money better, so they can achieve financial independence and realize their ambitions. Whether it’s owning a home, saving for retirement, paying off their student loans, or helping our members invest - SoFi is there every step of the way. Want to learn more about how it works? Check it out here: https://www.sofi.com/how-it-works/
Our core values are at the center of how we help our millions of members get their money right. They are our guiding principles for how we think about serving our members, building our company, and most importantly, how we work together. At SoFi, it’s not just what we do - but how we do it.
SoFi is also proud to be the naming rights partner of SoFi Stadium, home of the Los Angeles Chargers and the Los Angeles Rams.
For more information, visit SoFi.com
Why Work With Us
Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.
Gallery
SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!
