Senior Software Engineer (AI Products)

Brillian is a technology company focused on supporting small to medium-sized businesses through innovative financial solutions. They are seeking a Senior Software Engineer to develop AI products for their financial platform, working across engineering, data science, and machine learning to create impactful workflows for business owners and financial advisors.

Responsibilities:

• Build AI-native product features that combine strong software engineering with applied data science and machine learning techniques
• Create and refine automated AI agent systems written primarily in Python
• Design agentic workflows that can reason over business and financial data, use tools safely, retrieve relevant context, and produce useful outputs within clear guardrails
• Develop backend services, APIs, data pipelines, and integrations that connect our AI products to internal and external data sources
• Build evaluation, observability, and feedback loops for LLM-powered systems, with attention to accuracy, reliability, latency, cost, and user experience
• Partner with product, design, and business stakeholders to translate ambiguous customer needs into practical technical systems
• Support existing products and features, while helping design and build new ones
• Collaborate regularly with other stakeholders and partners to solicit requirements, seek feedback, and provide updates

Requirements:

• Strong professional experience building production software systems
• Strong Python experience, including writing robust, testable, maintainable production code
• Applied data science and machine learning experience, including comfort working with structured data, model outputs, evaluation methods, and probabilistic systems
• Experience building AI agents, agentic workflows, LLM-powered automation, or similar systems that interact with tools, APIs, documents, or databases
• Strong relational database fundamentals, including SQL and practical data modeling
• Demonstrable proficiency and a track record of professional success coding in at least two programming languages
• Excellent written and verbal communication skills
• Enjoy working in a collaborative environment where engineers are expected not only to build great technology, but also to define project vision, specify technical strategy, and always be learning
• Experience presenting to audiences and communicating effectively and empathetically with clients and other stakeholders
• Building AI products that reached real users, especially in accuracy-sensitive or data-rich domains
• Designing LLM evaluation workflows, test sets, prompt iteration processes, model selection approaches, and production monitoring for AI systems
• Working with retrieval-augmented generation, embeddings, vector search, structured extraction, classification, ranking, or other applied ML techniques
• Quickly learning new languages, frameworks, and technologies, including best practices
• With relational databases and query optimization
• Deploying on and configuring Google Cloud
• Writing production-ready code in Elixir, TypeScript, JavaScript, Go, or Ruby
• Working across the full product surface, including frontend technologies like TypeScript, React, GraphQL, and Relay