Senior Software Engineer, AI Team

Company overview Avantos is building the industry’s first AI-native operating system for financial services , redefining how firms onboard clients, deliver advice, and manage core servicing workflows. We’re a product-led team composed of founders and leaders from Wharton, MIT, top design programs, and prior unicorn SaaS companies. Tech Stack Our full backend tech stack includes the following - experience with these will be considered a plus, but not required: Languages : Go, Typescript Database : Postgresql AWS : ECS Fargate, AppFlow, S3, SQS, Bedrock IaC : Terraform Observability : Datadog Team Overview Matt Dupree Was going to be a philosophy professor but got into tech instead. I've built mobile apps and web apps, worked on a data science team, and founded a VC-backed startup. Was hired as the 5th engineer at Avantos. Favorite movie: The Prestige. (I generally like anything Christopher Nolan does.) Tristan Mortimer Most recently worked at a crypto startup. Before that, Amazon. x-Rust-user-group organizer. Outside of work, I spend time enjoying the great outdoors and traveling to different places. Favorite movie: Cars 3. (This might be a joke. We're not sure.) Rishabh Garg Was working on Bedrock at AWS but wanted to get some startup experience, so I jumped ship and joined Avantos in the Summer of 2025. Favorite movie: The Grand Budapest Hotel Job Summary You will play a large part in shaping our AI tech stack. We’re looking for someone opinionated about AI tooling with an idea of what good looks like. The ideal candidate would have experience in the following: Prompt engineering Model evaluation and testing Building RAG-based systems Data pipeline design Experience with containerization and orchestration (Docker, Kubernetes) Experience in the financial services industry Over the course of your work, you could end up working on other backend systems as well. Some example projects include: Provisioning and evaluating models for a new AI feature using AWS Bedrock Building an end-to-end pipeline that ingests customer-client interactions (e.g. call transcripts), and automatically kicks off workflows based on the contents Interview Process 10-minute async coding challenge Hiring manager chat and 20-minute coding challenge 45-minute Coding Challenge w/ another Engineer from the AI team System Design Interview Chat w/ a Product Manager #J-18808-Ljbffr