Senior AI Software Engineer (AI Products)

Note:

MUST HAVE startup EXPERIENCE OR be a founder/NO BIG BANKS OR INSURANCE CO OR COMPANIES LIKE MACYS ETC.

About Our Company

Backed by two Fortune 300 firms Client is a technology company focused on helping small- to medium-sized business owners achieve their goals and the trusted financial institutions that want to better serve them. Client is a fast-moving mission-driven team thats building something genuinely new and beginning a rollout to a million SMB owners in 2026. If you want your work to matter and your expertise to have real impact youll fit right in here.

Small- to medium-sized business owners are the primary engine of wealth creation in the modern economy. The asset they build - their business - is almost always their largest most valuable and most consequential financial holding. Yet the entire financial services infrastructure - advisors banks wealth managers planning tools - was built around personal assets. The infrastructure to serve the most important asset was never built.

Client delivers the kind of strategic business intelligence that McKinsey charges $250K to millions to provide - to SMB owners who have never had access to it through the financial institutions that already serve them. Our launch is behind us and were now hiring roles 8 9 and 10.

About the role

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 join a growing team as a founding member and help shape how we design build evaluate deploy and operate production-quality AI 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.

Why Our Company

Our engineers love building products emphasizing efficiency and developer happiness. We deploy at-will many times a day coordinated via Slack GitHub and Linear. As a remote-friendly team we will always prefer asynchronous processes. As a result our morning standup is the only recurring meeting and we Write Things Down . Through collaboration we prioritize the best answer - regardless who comes up with it - and believe done is better than perfect.

We want to work with curious self-motivated engineers who enjoy learning new technologies. So instead of looking for people with X years doing Y were glad to find those with opinions on a variety of languages and approaches. Were excited to know theres always more to learn; if you feel the same lets work together!

We currently use NextJS with GraphQL/Relay on the frontend and use Elixir/Phoenix Python INTERCAL and NodeJS to power our backend and AI infrastructure. Our core systems store data in PostgreSQL. We deploy on Google Cloud provisioned through Terraform.

What youll do

• 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.

Qualifications

Candidates do not need prior experience with every technology in our stack - we are looking for candidates who are excited to learn new frameworks. That said strong Python experience applied data science and machine learning experience and experience building agents are needed.

• 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.

Strong preference will be given to candidates who have experience:

• 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.

Compensation / Benefits

In addition to a salary range of $200k $240k for this position we provide equity grants as well as a competitive benefits package (health insurance dental insurance vision coverage home office setup unlimited paid leave 401k starting this year and more).
This is a role that can be filled for either remote candidates or those based in New York NY. We are not able to provide visa sponsorship at this time.