Poka Inc. Logo

Poka Inc.

Backend Staff Developer (AI Integration)

Posted 3 Days Ago
Be an Early Applicant
2 Locations
Senior level
2 Locations
Senior level
Design, maintain, and evolve backend services for AI integration, prototype R&D concepts, and work with product managers and teams on AI tools.
The summary above was generated by AI

At Poka, we’re transforming how frontline teams operate, learn, and solve problems.

Our connected worker platform is purpose-built for manufacturing, empowering frontline workers to share knowledge, collaborate in real-time, and drive continuous improvement. Think of it like YouTube and Facebook but built for the factory floor!

We’re proud to support global leaders like Nestlé, Bosch, Kraft, and Danone in their digital transformation journeys and as part of the IFS family, our reach and impact continue to grow globally.


As a Backend Staff Developer (AI Integration) at Poka, you’ll play a key role in designing, building, and evolving our AI integration services. Your expertise will help bring innovative, real-world solutions to life that enhance the experience of our users.

You’ll be part of a dynamic team on a mission to push the boundaries of innovation. You’ll collaborate with passionate experts, work with cutting-edge technologies, and embrace modern development practices in an environment that values experimentation, continuous learning, and fast feedback loops.

If you’re excited to help shape the future of AI at Poka — we can’t wait to meet you!

What you’ll do:

  • Design, maintain, and evolve backend services and subsystems for AI integration.
  • Rapidly prototype R&D concepts to test and validate ideas.
  • Stay up to date with the latest in AI technology and suggest actionable innovations.
  • Collaborate with product managers during the ideation and feasibility stages.
  • Build a deep understanding of our product to evaluate the ROI of new AI features.
  • Support product teams in delivering projects that integrate AI.
  • Help onboard teams across the company to successfully use and adopt AI tools.
  • Respond to legal and security questions related to AI usage within our platform.
  • Document architectural decisions (RFCs, ADRs) in a clear and collaborative manner.

What you bring:

  • A degree in Computer Science or equivalent practical experience.
  • 7+ years of experience in software development, with strong backend skills.
  • A track record of delivering complex technical projects.
  • A genuine interest in the business/product side of technology.
  • Solid understanding of LLMs (tokens, inference, prompt engineering).
  • Hands-on experience deploying and integrating AI within cloud-based architectures.
  • Excellent communication skills in both French and English (spoken and written).
  • Proficiency in Python.

Nice-to-haves:

  • Experience working in a startup or scale-up environment.
  • Familiarity with vector databases.
  • Knowledge of machine learning and model optimization techniques.
  • Experience with AWS Bedrock, SageMaker, or similar AI services.

What we offer:

  • Dynamic and collaborative work environment.
  • Generous vacation policy upon arrival.
  • Hybrid work policy - Work from the office one day a week if you live within a 40km radius to our Quebec City office or a 15 km radius to our Montreal office.
  • 100% remote work if you do not live within the radiuses mentioned above.
  • Truly flexible schedule and the possibility of taking every Friday afternoon off.
  • Group insurance from day one (dental, medication, invalidity, travel, etc.).
  • Telemedicine service with Dialogue.
  • Retirement plan with Wealthsimple after a year.
  • MacBook Pro and $500 allowance for your home office.
  • Tasty snacks (Fresh fruits, snacks, coffees, teas, etc.)
  • Generous referral bonus.
  • Whatever you need to keep learning and evolve professionally.
  • Rapid evolution in your role. Your responsibilities will not be limited!

*Certain benefits are exclusively accessible to employees in Canada.

Want to learn more about our culture? Click HERE.

Top Skills

AI
AWS
Cloud-Based Architectures
Llms
Python

Similar Jobs

Yesterday
Hybrid
Montréal, QC, CAN
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Principal Platform Architect role focuses on guiding clients in adopting the ServiceNow platform by establishing technical best practices, governance, and solution design to enhance business outcomes.
Top Skills: AIOracle CloudRemedyServicenowSFDC
Yesterday
Hybrid
Varennes, QC, CAN
Mid level
Mid level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
The Project Engineer manages project scope, develops investigation plans, communicates with clients, resolves issues, and coordinates laboratory activities to ensure compliance with UL standards.
Top Skills: Engineering SoftwareMS OfficeProject Management Tools
2 Days Ago
Remote
Hybrid
6 Locations
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead backend engineering efforts, design and develop scalable systems, handle critical production issues, and mentor team members in a fast-paced environment.
Top Skills: Aws CloudCassandraGitGoJava8KafkaOpensearchPostgresPythonRedis

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account