Full Stack Engineer

🕒 March 28

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 36%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lazer Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🛍️ eCommerce

Consulting • Marketing • eCommerce

Lazer Technologies is a company specializing in building world-class digital products, with a strong focus on engineering within the Shopify ecosystem. They collaborate with a wide range of clients, including many startup companies that have raised significant funds, to deliver high-quality engineering solutions efficiently and effectively. The company prides itself on its ability to simplify complex projects, adhere to timelines, and immerse itself within client teams to ensure success.

📋 Description

• Engage with clients to understand their problems, needs, goals, and technical environments • Architect, build, and ship full-stack applications leveraging AI and data capabilities • Apply MLOps or LLMOps best practices, including testing, monitoring, and reliability • Design and build scalable data pipelines and data lakes as needed • Communicate tradeoffs and risks transparently to support client decision-making • Collaborate with engineers and cross-functional teams to deliver impactful results • Stay current with AI trends, technologies, and tooling • Work across multiple industries and cutting-edge client projects

🎯 Requirements

• 4–6 years of experience as a Full Stack Engineer • Experience with TypeScript, React, Node.js, Python, or Go • Experience with generative AI, including image or video generation • Proven experience shipping production software across the stack • Strong experience hosting, tuning, and managing LLM services, libraries, or tools • Experience with agentic workflows, including creating and using MCP servers • Experience building AI-powered features such as information extraction, chatbots, document construction, search, and data normalization • Familiarity with prompt engineering and structured experimentation workflows • Experience fine-tuning LLMs using open-source models or closed-source services • Experience setting up testing infrastructure around agentic applications • Comfort with at least one major cloud provider: GCP, AWS, or Azure • Experience with cloud data tools such as BigQuery or SageMaker • Previous consulting or contracting experience • Ability to manage client expectations and timelines

🏖️ Benefits

• Competitive compensation • Unlimited PTO; take at least 15 days off a year • Full benefits: healthcare, dental, and vision • 401k for US employees • Work from anywhere with strong wifi • Regular team retreats/team vacations • Plus ones welcome on team retreats • Continuous learning and knowledge sharing • Autonomy with minimal meetings

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