Senior Developer - Quantitative

What You’ll Do

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. The ideal candidate will be a highly motivated, organized, and experienced technology individual with experience in building applications using Artificial Intelligence tools and capabilities.

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.
• Write production-quality code, prompts, evaluation scripts, and integration components.
• Integrate generative AI initiatives into established enterprise SDLC processes.
• 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.
• Diagnose failures related to prompts, retrieval pipelines, integrations, and model behavior.
• Drive automation of repetitive AI workflows and development processes.
• Make independent technical judgment on architecture, tooling, deployment models, and SDLC enhancements for generative AI systems.
• Contribute to AI-related technical decisions across product teams and engineering leadership.
• Design AI systems that enhance internal productivity and improve user and business partner experiences through reliability, transparency, and measurable value delivery.

Required Qualifications

• 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.
• Able to independently prototype, evaluate, and iterate on solutions in ambiguous problem spaces.
• Excellent oral and written communication, presentation, and facilitation skills.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• 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).
• Experience with quantitative technologies and optimizers like Gurobi.
• Financial Services Industry experience with exposure to portfolio management.
• 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: RAG (Retrieval-Augmented Generation), Multi-Agent Systems, Embedding strategies.

Pay

At Schwab, you're eligible for a base pay range, plus bonus or incentive opportunities. Details about the pay range are not specified in the provided job posting.