Generative AI Application Engineer
Location: United States (Remote)
Employment Type : Full Time (W2)
Working hours: Must be able to work remotely in the US on East Coast time zone. Work day starts at 8:30am ET - Exceptions for PT candidates for 9am ET / 6am PT and when needed, meetings at 8:30am ET.
Industry: Financial Technology / Data Analytics SaaS
Reports To: AI/Modeling Team Leadership
About This Opportunity
Purple Squirrel Enterprises has been supporting startups and global firms through growth, change, and expansion for 19+ years. We provide flexible HR and recruiting solutions that allow leaders to focus on strategy while we handle people operations — and this search is no exception.
We are exclusively engaged by a well-established SaaS analytics company serving the banking industry to help them identify and hire a hands-on Generative AI Application Engineer. We are embedded directly with their leadership team, have deep knowledge of the company, the culture, and what it takes to succeed here — and we will be your dedicated recruiting partner from first conversation through offer.
This is not a blind submission. When you apply, you are working with a team that knows this opportunity inside and out and will advocate for you every step of the way.
💜 If this opportunity resonates with you, we encourage you to apply. We will be in touch promptly.
Applications submitted directly to our client will be redirected back to Purple Squirrel Enterprises. To be considered for this role, all candidates must apply through this posting.
About Our Client
Our client is a well-known and respected provider of SaaS-based data analytics to the banking industry. Their platform helps banks and credit unions turn raw operational and customer data into the insight they need to run the business today — while guiding them through the next phase of their data and analytics journey.
Their internal Modeling and AI team leads both product and internal efforts in advanced analytics, and they are actively expanding that team's ability to ship production generative AI features directly into the platform their banking clients rely on every day.
This is a data-sensitive, regulated environment. The work is real, the data is real, and the standard for what counts as "in production" is high.
About the Role
Our client is looking for a Generative AI Application Engineer to design, build, and ship production generative AI features — API-based services, agents, and tools built directly against large language model (LLM) APIs — along with the application and data layers those features depend on.
This is a hands-on, mid-level engineering role , not a research position and not primarily a machine learning modeling position. The emphasis is on software engineering depth combined with applied generative AI experience: substantial Python and API development history, direct development at the LLM API level, and strong SQL skills.
Development is performed using an AI-First / Specification-Driven development process. You'll work closely with product management, data engineering, and other members of the internal AI/Modeling team to translate requirements into shipped features — and to find opportunities to increase organizational efficiency using generative AI, models, and heuristics along the way.
Candidates must have generative AI applications running in production today and must be able to name them, describe their own contribution, and provide reachable references who can confirm that contribution. Machine learning experience is valued and will be used, but it is not the basis on which this role is filled.
What You'll Do
Generative AI Application Development Design, build, and ship production generative AI features developed directly against LLM APIs — prompt construction, structured output handling, tool/function calling, retrieval, context management, and failure handling
Build and maintain the evaluation and regression harnesses that determine whether a…