Software Engineer, LLMs & AI Agents

Reposted 2 Days Ago
Toronto, ON, CAN
In-Office
100K-160K Annually
Mid level
Artificial Intelligence • Software • Design • App development
The Role
Build and optimize AI agents, LLM prompt-engineering tools, and AI-driven production products. Contribute to the technical and product roadmap with a founder-like ownership mindset, collaborate directly with customers and teammates, and ship high-impact features rapidly. The role requires strong software engineering, product judgment, code quality opinions, and adaptability in an early-stage startup. React experience is a plus, with TensorFlow, PyTorch, OpenAI API, design, and early-stage startup experience as bonuses.
Summary Generated by Built In

Tempo is looking for an experienced software engineer with a founder mindset to take a critical role in our rapidly growing early-stage startup. At Tempo, we believe software will be built 10x faster with teams leveraging the perfect combination of AI agents and collaborative tools. The platform we’ve built makes this future vision a reality, leading our company to an inflection point of growth. This role is an opportunity to join us early as we prepare to scale up in our market.

Your responsibilities
  • Be a critical part of the technical and product roadmap, acting like an owner of the business, making decisions with a founder-like mentality

  • Build and optimize AI agents and LLM prompt engineering tools that enable our customers to build web apps 10x faster

  • Embrace our AI-first culture at every level. Find creative and novel ways to leverage AI across the stack, from the React designer AI, to our network of asynchronous development agents, and for our own development processes

  • Collaborate directly with our team and customers to ship high leverage features, iterating as fast as possible

  • Have a blast working at a quickly growing startup!

Looking for someone who:
  • Bachelor's Degree or equivalent experience

  • Has professional experience building AI-driven applications and LLM prompt engineering (at least 4 years of professional full-time development experience, React experience a plus)

  • Is extremely talented and good at what you do (You execute complex tasks in half the time of your peers)

  • Has professional experience building and owning production-grade AI products in real life (not pet projects or projects for clients)

  • Has a very product and customer-focused mindset

  • Has been bitten by enough code quality and maintenance issues in production codebases/systems to be opinionated on how they should be built

  • Is self-driven and can roll with the punches in a fast-paced environment where priorities and requirements may change frequently

Bonus points if you:
  • Are an ex-founder OR worked at an early-stage startup previously (Series A or earlier)

  • Have an eye for visual design (or past experience in product design, Figma, etc)

  • Have experience with AI frameworks and tools (TensorFlow, PyTorch, OpenAI API, etc.)

Skills Required

  • Bachelor's degree or equivalent experience
  • At least 4 years of professional full-time software development experience
  • Professional experience building AI-driven applications
  • Professional experience with LLM prompt engineering
  • Professional experience building and owning production-grade AI products
  • Product- and customer-focused mindset
  • Ability to work independently in a fast-paced, frequently changing environment
  • React experience
  • Experience with AI frameworks and tools such as TensorFlow, PyTorch, or OpenAI API
  • Experience as a founder or at an early-stage startup
  • Visual design or product design experience, including Figma
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The Company
20 Employees
Year Founded: 2023

What We Do

Tempo Labs develops an AI-powered software factory and visual development platform for product teams. Its tools let product managers, designers, and engineers collaborate on web applications and code, combining collaborative design capabilities with IDE-like functionality and AI agents. The platform helps teams turn requirements and feedback into production-ready applications and reviewed pull requests, with a focus on accelerating software development.

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