Sr. Applications Engineer
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Key skills for this role
About the Role
Algebra AI seeks a senior applications engineer to build production-grade applications supporting AI-powered workflows. You will design dashboards, workflow interfaces, and integrations, working across the full stack.
Key Skills for This Role
Responsibilities
- Build production grade applications that support Algebra’s AI powered workflows
- Create dashboards, workflow interfaces, approval tools, admin panels, and operational systems
- Design application flows that make AI outputs reviewable, editable, auditable, and usable by humans
- Build internal tools that help Algebra deploy, monitor, and manage client workflows
- Work across frontend, backend, databases, APIs, authentication, permissions, and integrations
- Turn ambiguous business requirements into working software without needing every detail pre defined
- Translate real client processes into clear application logic and user flows
- Build interfaces for document intake, workflow routing, approvals, exceptions, reporting, and human in the loop review
- Work closely with AI engineers to connect model outputs into usable product experiences
- Design systems that support both automation and human control
- Create reusable application patterns for repeatable client use cases
- Build and maintain integrations with client systems, tools, databases, CRMs, ERPs, communication platforms, and document repositories
Requirements
- 10+ years of experience in application engineering, full stack engineering, backend engineering, or product engineering
- Experience building and shipping production applications used by real customers or internal operators
- Strong experience across modern web application development including frontend, backend, APIs, databases, and authentication
- Ability to turn unclear requirements into a working product without waiting for perfect specs
- Understanding of application architecture, data models, permissions, workflow logic, and integration patterns
- Ability to debug complex issues across product, backend, API, database, and third party systems
- Clear communication with founders, engineers, product leads, and client facing teams
Full Job Posting
About Algebra
- Algebra builds and operates AI powered workflows for mid market companies as a managed service.
- We identify high value operational processes, design AI systems to run them, and own the outcome end to end.
- We are not consultants. We do not sell software licenses. We are the accountable operator.
The Role
- This is a senior application engineering role for someone who can turn messy business workflows into working software systems.
- You will build the internal and client facing applications that sit around Algebra’s AI workflows: dashboards, workflow interfaces, approval screens, admin tools, integrations, and the application layer that makes our agents usable in the real world.
- This is not a role where you will be handed perfect product specs. You will work from business problems, client workflows, rough product direction, and operational requirements.
- You need to be strong enough technically to own architecture, but practical enough to ship.
- This is a builder role. There is no large product engineering org around you.
Application Development
- Build production grade applications that support Algebra’s AI powered workflows
- Create dashboards, workflow interfaces, approval tools, admin panels, and operational systems
- Design application flows that make AI outputs reviewable, editable, auditable, and usable by humans
- Build internal tools that help Algebra deploy, monitor, and manage client workflows
- Work across frontend, backend, databases, APIs, authentication, permissions, and integrations
- Turn ambiguous business requirements into working software without needing every detail pre defined
Workflow and Product Engineering
- Translate real client processes into clear application logic and user flows
- Build interfaces for document intake, workflow routing, approvals, exceptions, reporting, and human in the loop review
- Work closely with AI engineers to connect model outputs into usable product experiences
- Design systems that support both automation and human control
- Create reusable application patterns for repeatable client use cases
- Improve the product layer so Algebra does not rebuild everything from scratch for every client
Integrations and Systems
- Build and maintain integrations with client systems, tools, databases, CRMs, ERPs, communication platforms, and document repositories
- Design reliable API flows between Algebra, client systems, and third party services
- Handle authentication, permissions, webhooks, data syncing, and integration failure states
- Debug production issues across application code, data flows, integrations, and infrastructure
- Work with cloud and DevOps engineering to make sure applications deploy cleanly and run reliably
Engineering Quality
- Own technical decisions across application architecture, code quality, testing, and maintainability
- Set standards for how Algebra builds applications across client deployments
- Improve developer workflows, reusable components, and shared engineering patterns
- Write clean, practical code that another strong engineer can understand and extend
- Identify technical debt early and fix it before it slows delivery
- Balance speed with reliability, especially when client workflows depend on what we build
What We're Looking For
- 10+ years of experience in application engineering, full stack engineering, backend engineering, or product engineering
- You have built and shipped production applications used by real customers or internal operators
- Strong experience across modern web application development, including frontend, backend, APIs, databases, and authentication
- You are comfortable working across the stack and do not need to be protected inside a narrow specialty
- You can turn unclear requirements into a working product without waiting for perfect specs
- You understand application architecture, data models, permissions, workflow logic, and integration patterns
- You can debug complex issues across product, backend, API, database, and third party systems
- You write clear, maintainable code and know when to refactor versus when to ship
- You can communicate clearly with founders, engineers, product leads, and client facing teams
Bonus Points
- You have built workflow software, internal tools, approval systems, admin platforms, or operational dashboards
- You have experience building applications around AI, automation, LLMs, or agent based systems
- You have worked with document processing, data extraction, human in the loop review, or exception handling workflows
- You have built integrations with systems like Salesforce, HubSpot, Zoho, Microsoft 365, Google Workspace, Slack, Teams, SharePoint, or ERP tools
- You understand multi tenant architecture, role based access control, audit logs, and enterprise permissions
- You have worked in a startup, services led technology company, or client facing product environment
What This Role Is Not
- This is not a narrow frontend or backend role. You need to understand the full application layer and how the pieces connect.
- This is not a role where product hands you polished tickets and you quietly execute.
- This is not a pure AI engineering role. The value is in making AI outputs usable, reliable, and actionable inside business processes.
- This is not a maintenance role inside a mature platform. You will help create the application architecture, reusable patterns, and product foundation the company scales on.
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