Solstice

Solstice

Member of Technical Staff - Fullstack AI Engineer (Toronto)

Toronto · Staff+

Sponsorship not specified$155k-$230kDetected 18 days ago
TypeScriptPythonReactNext.jsFastAPIBackend DevelopmentFull-Stack DevelopmentPostgreSQLRedisDatadogTemporalAI OrchestrationAccessibilityCollaboration

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

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About the role

  • Python is our primary backend language, and FastAPI powers our APIs.
  • You'll help decide how agents run, recover from failures, access tools and context, and communicate with the application.
  • Solve the hard parts of agent execution.

Responsibilities

  • You'll own work across backend services, APIs, agent orchestration, and customer-facing interfaces, with a strong focus on Python and platform engineering.
  • You'll also build the React and Next.js experiences that give users visibility and control over that work.
  • You'll partner with product, design, Applied AI, and the broader engineering team to take problems from an initial idea through architecture, implementation, and production.
  • Build and maintain the agent platform.
  • Use Python, FastAPI, Restate, and Redis to build the shared systems that power our agents.
  • Shape session management, orchestration, tool access, and context delivery so new AI capabilities can build on a dependable foundation.
  • Design APIs that power the product.
  • Build Python and FastAPI services for content creation, document processing, collaboration, and enterprise integrations.
  • Design clear API contracts and PostgreSQL data models that make complex workflows straightforward to build on.
  • Bring AI workflows to life in the product. Build with React, Next.js, and TypeScript to show streaming progress and tool activity, support reconnectable sessions, and give users intuitive ways to review, accept, or refine AI output.

Requirements

  • You don't need experience with every tool in our stack.
  • We value strong fundamentals and the ability to learn quickly.
  • You must be legally entitled to work in Canada.

Nice to have

  • Experience with Restate or Temporal, sandboxed agent execution, streaming systems, or AI evaluation tools is a plus.

Compensation

  • The base salary range for this role is CAD $155,000 to $230,000, plus equity.
  • We pay at the top of the Toronto market, and we grant equity on the same schedule in every office.

Benefits

  • Supplemental health, dental, and vision coverage on top of OHIP
  • Equity in an early-stage company, granted on the same schedule as our New York team
  • Unlimited paid time off
  • A stipend for professional development
  • The base salary range for this role is CAD $155,000 to $230,000, plus equity.
  • We pay at the top of the Toronto market, and we grant equity on the same schedule in every office.

Company info

  • Your work will span the infrastructure that runs agents and the product experiences that help customers direct, inspect, and use their output. - Take on engineering problems with depth.
  • You'll see your decisions reach customers and use their feedback to improve the product.
  • SOME IDEAL TRAITS WE'RE LOOKING FOR - 5+ years of software engineering experience.
  • We're looking for a Fullstack AI Engineer to build and maintain our agent platform and bring its capabilities into the product.
  • Own the path from idea to production. Work with product and customer teams to choose the right problems, make practical tradeoffs, and ship complete features. Deploy, monitor, and improve what you build as customers use it.

Equal opportunity

  • Your first month in New York, with travel and accommodation covered

Visa & Work Authorization

  • We can't sponsor work permits for this role at this time

This listing is sourced directly from Solstice's careers page and normalized into a canonical job model.