Senior Software Engineer

remotehiro; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Avantos is building an AI-native operating system for financial services. We are seeking a backend engineer who guides AI tooling, evaluates models, and designs scalable data pipelines. You will work on containerized, orchestrated services and help shape the AI stack used to onboard clients and deliver advice.

The role involves hands-on work with AWS Bedrock, Docker, Kubernetes, and PostgreSQL, collaborating with product and design teams to deliver reliable AI features.

Qualifications

• Experience with AI tooling and model evaluation.
• Strong data pipeline design and data quality control.
• Familiarity with Bedrock or similar AI platforms.

Responsibilities

• Shape AI tech stack and establish best practices.
• Build end-to-end pipelines for customer interactions and workflows.
• Prototype and evaluate models for new AI features and features rollout.

Skills

Prompt engineering

Model evaluation

RAG-based systems

Data pipeline design

Containerization

Docker

Kubernetes

Financial services experience

Tools

Docker

Kubernetes

AWS Bedrock

Terraform

PostgreSQL

Datadog

Job description

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

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