SoFi · 6 hours ago
Senior AI Engineer
San Francisco, CA
Full-time
Onsite
Senior Level
5+ years expSoFi is a next-generation financial services company and national bank using innovative, mobile-first technology to help members reach their financial goals. The Senior AI Engineer will be responsible for developing AI-based solutions for risk management, including architecture, optimization, and collaboration with cross-functional teams.
CreditCredit CardsFinancial ServicesFinTechLendingWealth Management
Responsibilities
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
Qualification
Required
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
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
Preferred
React is strongly preferred
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
Company
SoFi
SoFi is a finance company that offers a range of lending and wealth management services.
1001-5000 employees
H1B Sponsorship
SoFi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (213)
2024 (117)
2023 (131)
2022 (118)
2021 (81)
2020 (42)
Funding
Current Stage
Public CompanyTotal Funding
$12.25BKey Investors
Fortress Investment GroupPGIMQatar Investment Authority
2025-12-04Post Ipo Equity· $1.5B
2025-07-29Post Ipo Equity· $1.5B
2025-04-17Post Ipo Debt· $3.2B
Leadership Team
Anthony Noto
CEO
Jeremy Rishel
Chief Technology Officer
Recent News
Business Wire
2026-01-16
The Motley Fool
2026-01-16
2026-01-16
Company data provided by crunchbase