
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
Artificial Intelligence
Neuroscale AI is a company working in artificial intelligence. No additional company text was provided, so this description is based only on the name and implies a focus on AI technologies, research, or products.
🕒 March 12
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11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
Artificial Intelligence
Neuroscale AI is a company working in artificial intelligence. No additional company text was provided, so this description is based only on the name and implies a focus on AI technologies, research, or products.
• Design, build, and maintain robust backend systems that power Neuroscale AI’s core platform • Develop and scale REST APIs using Python and FastAPI • Build production-ready systems using PostgreSQL, Redis, OpenSearch, Celery, and Temporal • Architect and optimize systems that handle large-scale datasets and high-throughput backend workflows • Build, deploy, and maintain backend services on AWS • Own containerized deployments, CI/CD pipelines, and backend infrastructure reliability • Support integrations, data pipelines, workflow automation, and asynchronous processing systems • Help define backend architecture, engineering standards, observability, and performance practices • Work closely with product, AI, and frontend teams to deliver features that power B2B and B2C SaaS experiences • Mentor engineers and raise the bar on engineering quality, speed, and execution • Operate like an owner in a startup environment, balancing speed with sound engineering judgment • Contribute to AI-enabled engineering workflows and modern developer tooling, including tools such as Cursor and/or Claude Code
• Strong backend engineering experience with Python • Deep hands-on experience with FastAPI • Strong production experience with PostgreSQL and Redis • Experience using OpenSearch • Hands-on experience with Celery and Temporal • Proven experience building robust REST APIs • Experience working with large-scale datasets • Experience deploying and managing backend systems on AWS • Hands-on experience with AWS services, containers, and deployment pipelines • Experience building, deploying, and maintaining production systems for B2B and/or B2C SaaS • Experience supporting integrations, data pipelines, and/or workflow automation • Prior experience operating as a Staff Engineer, Lead Engineer, Founding Engineer, or Architect • Experience working in startup-style environments with high ownership and mentoring responsibility • Strong systems thinking, sound backend architecture judgment, and the ability to move from idea to production • Ability and willingness to relocate to Northern VA/DC
• Medical, dental, vision • 14-days of PTO accrued annually • At least $2,000 per year for courses, events, books, and growth communities • New macbook pro, monitor, and a monthly tools budget to run the stack you want • Flexible hours, in-person. • Clear, fast-track path to an Engineering Lead as we scale the team
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