Software Engineer, Agentic AI

Robinhood

Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$117,749–$195,000 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $156k
$104k most similar roles pay here $247k

This role pays less than 83% of similar roles. Most pay $171,000–$232,750 — the shaded band above. At the midpoint, this role pays about $156k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 78 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 77 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Software Engineer, Agentic AI

Join our team as a Software Engineer, Agentic AI in Bellevue, WA, where you will architect and implement distributed cloud-based systems supporting the full machine learning lifecycle. You’ll develop robust backend services and APIs using Python or Go, optimize data retrieval systems with various databases, and collaborate on delivering AI-driven capabilities across multiple domains including market data and security. Utilize AWS or GCP along with Kubernetes for managing large-scale compute environments, design CI/CD workflows, and implement observability systems to ensure system reliability. The role requires expertise in machine learning, Python, databases, and cloud infrastructure, as well as a commitment to software engineering best practices like code reviews and automated testing.

What you'll do

  • Architect and implement distributed cloud-based systems for the full machine learning lifecycle.
  • Develop and maintain robust backend services and APIs using Python or Go.
  • Optimize compute, storage, and data retrieval systems to enable low-latency model inference.
  • Collaborate with teams to deliver AI-driven capabilities in various domains like trading and security.
  • Design and manage large-scale compute environments for AI workloads using cloud infrastructure and container orchestration technologies.
  • Implement model serving and observability systems to monitor performance and ensure fault tolerance.

What we're looking for

  • Bachelor’s degree in Computer Science or related field.
  • Experience with Kubernetes and container orchestration technologies.
  • Proficiency in Python and Go for backend development.
  • Knowledge of AWS cloud infrastructure and services.
  • Expertise in machine learning lifecycle, including model training and deployment.

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