Jobs › Companies › Lazer › Full Stack Engineer, Agentic AI

Sobre esta vaga de Full Stack Engineer, Agentic AI na Lazer

Lazer · Remoto · Canada

Lazer is a world-class digital product studio composed of 180+ senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and grown products from $0 to $200M in revenue.

Clients seek out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable retail brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, Polymarket, and more.

We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more!

Join Lazer and help us solve problems and build the next generation of products!

Lazer Core is a specialized team within Lazer focused on building robust, AI-powered full-stack applications. We partner closely with ambitious teams across industries to bring cutting-edge products to life, leveraging the latest in AI, agentic workflows, and scalable infrastructure. Our engineers work across the stack, helping clients solve high-impact problems with tailored, production-ready solutions.

Who You Are:

  • 4–6 years of experience as a Full Stack Engineer working with TypeScript, React, Node.js, Python or Go.

  • Experience with generative AI in areas like image or video generation.

  • Proven experience shipping production software across the stack.

  • Strong experience hosting, tuning, and managing LLM services, libraries, or tools.

  • Experience working with agentic workflows, including creating and using MCP servers.

  • A track record of building AI-powered features such as information extraction, chatbots, document construction, search, data normalization, etc.

  • Familiarity with prompt engineering and structured experimentation workflows.

  • Experience fine-tuning LLMs using open-source models or closed-source services.

  • Confidence in setting up testing infrastructure around agentic applications.

  • Comfort working with at least one major cloud provider (GCP, AWS, Azure), especially data tools like BigQuery, SageMaker, etc.

  • Previous experience in consulting or contracting roles, with the ability to manage client expectations and timelines.

What You'll Do:

  • Engage with clients to understand their problems, needs, goals, and technical environments.

  • Architect, build, and ship full stack applications that leverage AI and data capabilities.

  • Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability.

  • Design and build scalable data pipelines and data lakes as needed.

  • Communicate tradeoffs and risks transparently, supporting client decision-making.

  • Collaborate with other engineers and cross-functional teams to deliver impactful results.

  • Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.

Nice to Have:

The following would be a bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.

  • Experience with generative AI in areas like image or video generation.

  • Familiarity with Kubernetes and container orchestration.

  • Background using ETL frameworks (e.g., Airflow).

  • Skills in mobile development (e.g., React Native, native iOS/Android).

  • Strong design sensibility and user experience intuition.

  • Solid statistics or data science background for intelligent data analysis.

  • Relevant certifications, open-source contributions, or technical publications.

AI in our hiring process
We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too — just be upfront about how it helped.

Why Work With Us

  • 🚀 Accelerate Your Growth: Work across multiple industries and cutting-edge projects with a team that ships fast.

  • 💥 Maximum Impact: Shape the future of the tech industry by helping ambitious projects reach their potential.

  • 🏅 True Ownership: Everyone ships code and has real autonomy with minimal meetings.

  • 💡 Continuous Learning: Be part of a team of senior engineers and designers who love learning and knowledge sharing.

Why This Might Not Be For You

  • 🤖 You Resist Modern Tools: We leverage AI and cutting-edge technology to build rapidly and focus our energy on solving the most complex, high-impact challenges for our clients.

  • 🏗️ You Crave High Structure: We thrive in an autonomous, fast-moving environment, which means you need to be comfortable with some ambiguity.

  • 😴 You Prefer Conventional Careers: Our consulting approach involves varied projects and direct client interaction — it's not for everyone.

  • 1️⃣ You Like Staying in One Lane: Our projects require adapting to different tech stacks and modern tooling quickly.

Benefits & Perks

  • 🌐 Work From Anywhere: Choose your workspace — all you need is strong wifi and a passion for building!

  • 🧘‍♂️ Work / Life Balance: We believe in our team’s ability to have it all; a great career, and time to unplug and live…you know...life.

  • 🩺 Employee Care: We provide full benefits (healthcare, dental, vision) for our employees (401k for our US employees)

  • 🏖️ Unlimited PTO: Everyone needs a break. Take at least 15 days off a year, and more if you need—just be cool about it and keep the team in mind.

  • 🎉 Regular Team Retreat: Join us for a week of team bonding at amazing destinations. Recent trips include the Dominican Republic, Cancun, and Hawaii — plus ones welcome.

Pronto para se candidatar à Lazer?
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