Founding Engineer, AI Platform

Remotebase

Founding engineer building Ember AI’s enterprise intelligence workspace from meetings, email, documents, Slack, and operational systems. Developing agents, connectors, workflows, and scalable platform primitives.

Posted 8/11/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development, particularly with React, TypeScript, and Python, while effectively managing customer-focused product design and implementation. Capable of leading complex workflows and building AI-powered features in production environments.

Highest-signal resume keywords

Full-Stack DevelopmentAI-Powered Product FeaturesCustomer-Focused Problem SolvingTechnical Architecture LeadershipProduct Roadmap Shaping

ATS Keywords

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Hard Skills

ReactTypeScriptPythonFastAPIPostgresAI Coding ToolsBackground JobsData SecurityWorkflow ExecutionObservability

Soft Skills

Clear CommunicationHigh AgencyStrong Product InstinctsBias Toward ActionComfort with Ambiguity

Tools & Technologies

AWSCeleryGmail IntegrationsSlack IntegrationsGoogle Calendar IntegrationsCRMsDocument SystemsEnterprise APIs

Industry Keywords

Enterprise IntelligenceCustomer DiscoveryProduct UIBackend APIsData ModelsTenant IsolationSecure Multi-Tenant SoftwarePermissionsData Access ControlsAgent Orchestration

Tech Stack

Tools & technologies

AWSCloudPostgresPythonReactTypeScript

About the role

Key responsibilities & impact

Own meaningful product areas end to end, from customer discovery and technical design through implementation, launch, and iteration
Build core Enterprise Intelligence surfaces, including the agent builder, brain pages, connectors, source transparency, calendar and meeting workflows, and internal tools
Design reusable platform primitives for agents, including triggers, tools, approvals, evals, memory, observability, and workflow execution
Turn messy, customer-specific workflows into reliable and extensible product experiences
Work across the stack using React, TypeScript, Python, FastAPI, Postgres, background jobs, cloud infrastructure, LLM APIs, and retrieval systems
Build for production, including tenant isolation, reliability, monitoring, permissions, data security, and secure connector access
Work directly with customers through discovery calls, workflow reviews, debugging sessions, implementation, and launch support
Use AI coding tools while maintaining engineering judgment and building understandable, operable, extensible systems
Help shape the product roadmap, technical architecture, engineering practices, and culture
Within 30 days, understand the product, architecture, and customer context; identify key gaps; and ship a meaningful improvement
Within 60 days, own a core platform primitive or agent workflow end to end, including UX, reliability, evals, and observability
Within 90 days, independently lead a customer-facing workflow or major Enterprise Intelligence surface that can scale beyond one customer

Requirements

What you’ll need

Entrepreneurial builder with a 0-to-1 journey as a founder, founding engineer, or early startup employee ideally
Built something meaningful from a blank page and can demonstrate personal decisions, tradeoffs, and outcomes
Strong full-stack judgment across product UI, backend APIs, data models, infrastructure, and customer needs
Comfortable with ambiguous product and platform problems
Customer-focused approach to solving pain
Shipped AI-powered product features in production, or strong evidence of quickly learning and building in this space
Ability to balance speed with durability and know when to prototype, generalize, or revisit decisions
High agency, low ego, strong product instincts, and bias toward action
Clear communication with technical and nontechnical teammates and comfort working directly with customers
Uses AI tools to accelerate work without outsourcing judgment
Excited by agents, RAG, tool calling, evals, and real-business edge cases
Nice to have: Python, TypeScript, React, Postgres, Celery or other background job systems, AWS, or comparable technologies
Nice to have: integrations with Gmail, Slack, Google Calendar, CRMs, document systems, or other enterprise APIs
Nice to have: LLM evals, observability, retrieval, agent orchestration, prompt reliability, or tool-use reliability
Nice to have: secure multi-tenant enterprise software, permissions, and data access controls
Nice to have: strong product taste and coherent, intuitive, trustworthy tools

Benefits

Comp & perks

Market-competitive salary – rewarding your contributions fairly
Global team experience – collaborate with talented professionals worldwide
Innovative, fast-growing company where your work makes a real impact