[Remote] Senior Software Engineer (AI Products)
Note: The job is a remote job and is open to candidates in USA. Brillian is a technology company backed by Fortune 300 firms, focused on empowering small to medium-sized business owners with strategic business intelligence. They are seeking a Senior Software Engineer to build AI products for their financial platform, contributing to the design and implementation of AI systems that enhance business insights for their customers.
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
Skills
- 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
Benefits
- Equity grants
- Health insurance
- Dental insurance
- Vision coverage
- Home office setup
- Unlimited paid leave
- 401k starting this year
Company Overview