Embedding VC Jobs

AI Engineer (Early Career)

Embedding VC

AI Engineer (Early Career)

Posted 11 Days Ago

In-Office or Remote

Hiring Remotely in CA

Entry level

In-Office or Remote

Hiring Remotely in CA

Entry level

Build and ship full-stack features for an AI agent platform, rapidly prototype and iterate with pilot customers, and work hands-on with LLMs, agents, voice AI, and modern AI coding tools. The role also expects product ownership, independent opinions, strong engineering fundamentals, comfort with ambiguity, and a demonstrated passion for building through projects, hackathons, or open source.

The summary above was generated by AI

About Lingopal

Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform aimed at enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies.

About the Role

We're looking for an early-career AI Engineer — a fresh grad or someone with limited professional experience but an unmistakable passion for building. You'll work alongside our founding team and Tech Lead on our new AI agent product, ship real features quickly, and be encouraged to form and voice your own opinions about where the product should go.

What You'll Do

- Build and ship product features across the stack on our new AI agent product.

- Prototype fast, learn from pilot customers, and iterate.

- Bring your own point of view on product direction — we want engineers who think like owners, not ticket-takers.

- Work hands-on with LLMs, agents, and voice AI, and use modern AI coding tools daily.

What We're Looking For

- Fresh grad or early-career engineer with limited professional experience.

- A passionate builder — a portfolio of projects, side-projects, hackathons, or open source that shows you love to make things.

- Solid engineering fundamentals and eagerness to learn fast.

- Own opinions on product and a strong sense of ownership.

- Comfortable with ambiguity and a fast, low-process environment.

Similar Jobs

Brain Co.

Machine Learning Engineer

25 Days Ago

Remote or Hybrid

Entry level

Artificial Intelligence • Information Technology • Software

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

Top Skills: JaxPyTorchTensorFlow

GitLab

Staff Security Researcher

Yesterday

Easy Apply

Remote

Canada

Easy Apply

Senior level

Cloud • Security • Software • Cybersecurity • Automation

Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.

Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript

GitLab

Principal Security Researcher

Yesterday

Easy Apply

Remote

Canada

Easy Apply

Expert/Leader

Cloud • Security • Software • Cybersecurity • Automation

Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.

Top Skills: Ai FrameworksDevsecopsDuo Agent PlatformGitlabGitlab Duo ChatGoPythonRubyRustTypescript

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
Major Tech Employers: SAP, Google, Microsoft, Cisco
Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal