Senior Software Engineer - Backend

Artian AINew York, NY
Onsite

About The Position

Artian AI is looking for a Senior Software Engineer - Backend to lead development of the core platform behind our agentic AI automation product. You will design and build the backend systems that allow autonomous agents to execute business-critical workflows reliably, securely, and at enterprise scale. This is a senior individual contributor role for an engineer who can own major technical decisions, raise engineering standards, and translate ambiguous product and customer needs into durable backend architecture.

Requirements

  • Significant backend engineering experience with a record of shipping production systems.
  • Deep Python experience and strong software architecture fundamentals.
  • Experience designing APIs, distributed systems, workflow systems, data platforms, or enterprise SaaS infrastructure.
  • Strong understanding of databases, asynchronous processing, observability, cloud infrastructure, security, and system reliability.
  • Ability to own ambiguous technical problems and drive them to high-quality outcomes.
  • Strong communication skills and the ability to collaborate across engineering, product, and customer-facing teams.
  • A high bar for engineering quality and a bias toward building simple, robust systems.
  • MS in Computer Science or a closely related engineering discipline, or equivalent industry experience.

Nice To Haves

  • Experience building enterprise SaaS, workflow automation platforms, developer platforms, or mission-critical systems.
  • Experience with AI/ML infrastructure, LLM applications, agent orchestration, or data-intensive automation.
  • Experience with financial services, regulated environments, auditability, compliance, or security-sensitive systems.
  • Experience at an early-stage company where senior engineers shape architecture and culture.

Responsibilities

  • Lead design and implementation of backend architecture for Artian’s AI automation platform.
  • Build scalable services, APIs, orchestration systems, workflow engines, data models, and integration layers.
  • Design platform primitives for permissions, state, auditability, observability, reliability, and enterprise deployment.
  • Partner with AI/ML engineers to productionize agent capabilities and support complex AI-driven workflows.
  • Own major backend workstreams from technical design through implementation, launch, and iteration.
  • Improve engineering practices around testing, monitoring, code quality, deployment, and incident response.
  • Mentor engineers and help establish technical standards for a high-performing engineering team.
  • Make pragmatic architecture decisions that balance speed, correctness, reliability, and long-term maintainability.

Benefits

  • Own foundational architecture for enterprise-grade autonomous agents.
  • Build systems that must be reliable, observable, secure, and scalable from day one.
  • Work in a high-ownership environment with direct influence on product and engineering direction.
  • Help define the platform layer for agentic AI in financial services.
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