Senior Software Engineer - Backend
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- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 150,000–200,000 1 YEAR
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 150,000–200,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
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Original job description
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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 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.
What You’ll Do
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.
What We’re Looking For
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.
Nice to Have
MS in Computer Science or a closely related engineering discipline, or equivalent industry experience.
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.
Why Join Artian
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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