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Artian AI

Software Engineer - Backend

New York, United States

Location
New York, United States
Work
On-site
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$125K – $150K a year
Posted
5 months ago

Pay and the market here

The top of this role’s range, $150K a year, is 38% below the median of $242K for engineering jobs in New York (middle half $200K – $300K, 3,178 jobs that state pay).

3,709 engineering jobs open in New York: 12% remote, 695 posted in the last 30 days.

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About the role

About Artian

Artian AI is building agentic AI automation for financial services. Our platform enables reliable, autonomous AI agents to execute business-critical workflows across regulated enterprise environments.

We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate transparently, and care deeply about doing excellent work. We are looking for people who are grounded under pressure, learn quickly, earn trust with teammates and customers, and want to help define how AI agents are deployed safely and effectively in the enterprise.

About the Role

Artian AI is looking for a Software Engineer - Backend to help build the platform infrastructure behind our agentic AI automation product. You will work on the services, APIs, data models, orchestration systems, integrations, and reliability foundations that enable AI agents to operate inside enterprise financial-services environments.

This role is ideal for an engineer who enjoys building production software, cares about reliability and clean abstractions, and wants to work closely with AI, product, and customer-facing teams to ship meaningful functionality quickly.

What You’ll Do

  • Build backend services, APIs, workflows, and platform primitives for Artian’s AI automation platform.
  • Design systems for orchestration, state management, permissions, observability, and integration with enterprise systems.
  • Work closely with AI/ML engineers to expose model and agent capabilities through robust production services.
  • Build secure, scalable data flows across customer workflows and internal platform components.
  • Improve platform reliability, performance, testing, deployment, and developer velocity.
  • Collaborate with product and solutions engineering to turn customer requirements into reusable platform capabilities.
  • Debug and resolve issues across the stack in a fast-moving production environment.

What We’re Looking For

  • Strong Python engineering skills and experience building backend systems in production.
  • Experience designing APIs, services, data models, queues, jobs, workflow engines, or distributed systems.
  • Familiarity with databases, cloud infrastructure, observability, testing, and deployment practices.
  • Ability to write clean, maintainable, well-tested code.
  • Strong product sense and an interest in building systems that customers rely on.
  • High ownership, clear communication, and comfort operating in ambiguity.

Nice to Have

  • BS in Computer Science or a closely related engineering discipline, or equivalent industry experience.
  • Experience building enterprise SaaS, workflow automation, developer platforms, or data-intensive systems.
  • Experience integrating with financial-services systems, document systems, CRMs, ERPs, or other enterprise tools.
  • Experience with AI/ML platforms, LLM applications, or agent orchestration systems.
  • Experience in security-conscious or regulated environments.

Why Join Artian

  • Build the core platform for deploying autonomous agents in real enterprise workflows.
  • Work closely with AI engineers and customer-facing teams on high-impact product problems.
  • Join an in-person New York team with high ownership and direct customer feedback.
  • Help define the backend architecture for a new category of enterprise AI software.

Source

Posted by Artian AI on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:57 UTC; the original is the reference.

View the original ad ↗

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