Full Stack Engineer
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Role details
Tech stack
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Job description
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.
Requirements
- 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.
About the company
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.
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