Senior Software Engineer (AI Products)

Brillian•New York, NY

6d•$200,000 - $240,000•Remote

About The Position

We are seeking gifted software engineers to help build the next generation of AI products for our financial platform. This is a significant opportunity to be a founding member of a growing team and help shape the way we design, build, evaluate, deploy, and operate production-quality AI systems. In this role, your work will make a significant impact on our customers, stakeholders, and ability to continue to scale. You will work across product engineering, applied data science, and machine learning to create AI-powered workflows that help business owners and financial advisors answer complex questions, understand business performance, and take useful next steps. The work will include backend services, data retrieval and transformation, LLM integrations, agentic workflows, evaluation systems, and user-facing product experiences.

Requirements

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.

Nice To Haves

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.

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.