Senior Software Engineer, AI Team
Listed on 2025-12-28
-
Software Development
AI Engineer
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.
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, App Flow, S3, SQS, Bedrock - IaC
:
Terraform - Observability
:
Datadog
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 orite movie:
The Prestige. (I generally like anything Christopher Nolan does.)
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.)
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
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
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