Charles Schwab & Company, Inc.

Senior Developer - Quantitative

Southlake, TX, US · Senior · Full-time

Sponsorship not specifiedDetected 7 days ago

PythonGitGitHub ActionsData ScienceNLPLLMsRAGLangGraphAgileJiraConfluenceCommunicationCollaborationProblem Solving

About the role

Your Opportunity At Schwab, you're empowered to make an impact on your career.
We Believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Write production-quality code, prompts, evaluation scripts, and integration components.

Software Engineer Responsibilities: Hands-on development, and participation in architectural designs.
Design, build, test, and deploy generative AI-enabled applications and services in an Agile practice.
Design and implement solutions leveraging large language models (LLMs), embeddings, retrieval-augmented generation (RAG), and conversational AI frameworks.
Build secure integrations between AI services and enterprise systems.
Develop reusable foundational components, such as prompt frameworks and reusable templates, RAG pipelines and retrieval orchestration layers and guardrails, validation, and output verification layers.
Optimize model usage for cost, latency, reliability, and scalability.
Implement human-in-the-loop validation and structured feedback capture mechanisms.
Lead troubleshooting and resolution of AI-related production issues.
Drive automation of repetitive AI workflows and development processes.
Hands-on development, and participation in architectural designs.

Bachelor's degree in Computer Science, Computer Engineering, Data Science, Financial Engineering, or equivalent experience.
Proficiency in Python or any object-oriented design technologies.
Experience with quantitative technologies and AI tools and capabilities Ability to independently prototype, evaluate, and iterate on solutions in ambiguous problem spaces.
Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

Master's degree in Computer Science, Computer Engineering, Data Science, Financial Engineering, or related field.
Experience with GitHub, GitHub actions for DevSecOps, and Atlassian suite of products (Confluence, JIRA, Bamboo) is preferred.
Experience with quantitative technologies and optimizers like Gurobi is highly preferred.
Financial Services Industry experience with exposure to portfolio management.
Experience with building solutions using Large Language Models (LLMs), Prompt Engineering,

Experience with building solutions using Large Language Models (LLMs), Prompt Engineering, Fine-Tuning (LoRA, PEFT), In-Context Learning Orchestration & Frameworks: LangChain, LangGraph, LlamaIndex, Hugging Face Transformers AI Pipelines: R

RAG (Retrieval-Augmented Generation), Multi-Agent Systems, Embedding strategies In addition to the base pay range, this role is also eligible for bonus or incentive opportunities.
As a Software Engineer, you will be responsible for delivering high quality solutions that meet business objectives in a flexible, collaborative, and rapidly changing delivery environment.

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

This listing is sourced directly from Charles Schwab & Company, Inc.'s careers page and normalized into a canonical job model.