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EngineeringOn-site

Senior Full Stack Engineer

Symmetry AI · On-site

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Last seen by MeritLog September 9, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Symmetry AI's Ashby job board and last checked it on September 9, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
Not listed by source
Location
Seattle HQ
Occupation
Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at Symmetry AI

Symmetry AI has 3 live roles in MeritLog’s catalog, and 3 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Symmetry AI concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • Design, Build, & Maintain APIs: Build reliable, versioned interfaces that power Symmetry’s product and external integrations.
  • Architect Data Systems: Design and optimize relational, vector, and graph-based data stores that represent interconnected project context.
  • Build Distributed Services: Develop and scale backend systems using modern Python frameworks and asynchronous processing patterns.
  • Integrate AI Workflows: Combine retrieval and generation pipelines to deliver context-rich, adaptive intelligence within the platform.
  • Ensure Reliability & Security: Design for fault tolerance, enforce access control, manage secrets securely, and maintain compliance with data protection standards.
  • Operate in Production: Deploy, monitor, and optimize services with meaningful metrics, alerts, and incident response practices.
  • Debug & Optimize: Trace issues end-to-end, fix root causes, and continuously improve system performance and resilience.
  • Collaborate Cross-Functionally: Partner with frontend, design, and research to deliver reliable, user-centered experiences.
  • Own the Outcome: Document systems, write tests, and iterate post-launch using real-world feedback.

What they're asking for

  • 5+ years building and operating backend or full-stack systems in production environments.Experience
  • Strong Python fundamentals and experience with modern web frameworks.Skill
  • Deep understanding of data modeling and SQL with hands-on experience in relational databases.Skill
  • Experience designing distributed and asynchronous systems for scale and reliability.Skill
  • Understanding of vector or graph data models and their role in search, retrieval, or knowledge systems.Skill
  • Solid foundation in cloud-native operations - containerization, orchestration, monitoring, and scaling.Skill
  • Track record of owning systems end-to-end - from design to post-launch operation.Skill
  • Awareness of security best practices and compliance principles.Skill
  • Strong debugging, observability, and incident-management skills.Skill
  • Clear, proactive communicator comfortable working with product and research partners.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

ABOUT SYMMETRY We’re solving one of the biggest challenges in modern AI workflows: fragmented context. Today, project knowledge is scattered across conversations, tools, and docs-forcing teams to spend more time steering AI than actually getting work done. Symmetry brings context, continuity, and observability to AI-powered work, enabling teams to ship faster, work smarter, and maximize productivity across their existing AI stack. We’re a fast-moving, early-stage team with a proven track record of building and scaling successful AI businesses. Freshly funded and growing, we’re looking for builders who want to help define the next frontier of human–AI collaboration. ROLE SUMMARY You’ll own the systems powering Symmetry’s platform and Intelligence Layer-designing APIs, architecting data systems, and operating production services that are fast, fault-tolerant, and secure. You’ll work closely with product, design, and research to turn complex ideas into scalable, elegant systems that make AI workflows seamless and trustworthy. WHAT YOU’LL DO - Design, Build, & Maintain APIs: Build reliable, versioned interfaces that power Symmetry’s product and external integrations. - Architect Data Systems: Design and optimize relational, vector, and graph-based data stores that represent interconnected project context. - Build Distributed Services: Develop and scale backend systems using modern Python frameworks and asynchronous processing patterns. - Integrate AI Workflows: Combine retrieval and generation pipelines to deliver context-rich, adaptive intelligence within the platform. - Ensure Reliability & Security: Design for fault tolerance, enforce access control, manage secrets securely, and maintain compliance with data protection standards. - Operate in Production: Deploy, monitor, and optimize services with meaningful metrics, alerts, and incident response practices. - Debug & Optimize: Trace issues end-to-end, fix root causes, and continuously improve system performance and resilience. - Collaborate Cross-Functionally: Partner with frontend, design, and research to deliver reliable, user-centered experiences. - Own the Outcome: Document systems, write tests, and iterate post-launch using real-world feedback. SKILLS WE’RE LOOKING FOR - 5+ years building and operating backend or full-stack systems in production environments. - Strong Python fundamentals and experience with modern web frameworks. - Deep understanding of data modeling and SQL with hands-on experience in relational databases. - Experience designing distributed and asynchronous systems for scale and reliability. - Understanding of vector or graph data models and their role in search, retrieval, or knowledge systems. - Solid foundation in cloud-native operations - containerization, orchestration, monitoring, and scaling. - Track record of owning systems end-to-end - from design to post-launch operation. - Awareness of security best practices and compliance principles. - Strong debugging, observability, and incident-management skills. - Clear, proactive communicator comfortable working with product and research partners. If you thrive on autonomy, clarity, and collaboration and want to build the connective tissue between humans and AI systems, Symmetry is where you’ll do your best work.

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