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Backend & Machine Learning Engineer Product · Oslo · Hybrid

Kindly.ai



Backend & Machine Learning Engineer
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We're thrilled that you're considering a career at Kindly! Here's everything you need to know about this job. 🥳

🌟 What we want your help with:

  • You will help to build stable services with good code. All our team members are senior developers, so we want you to learn from us, as well as bring new ideas and knowledge to the table.
  • We are building the world's most loved chatbots, using all the buzzwords (AI, LLM, ML, GPT-4, Gemini, etc).
  • We use AI both in the chatbot, but also on the platform side to help users build content.
  • We need you to bring your skills so we can keep building a product that competes at the top level against global competitors.

🌟 Some of our goals for the next 2 years

  • Make all our bots personal and deeply conversational for all end users
  • Keep our position as the most user friendly Chat widget and Chatbot platform
  • Improve our Analytics and Insight tools to compete among the best
  • Reduce time spent on building bots by 60%

🌟 Where we might stand out:

  • No tracking of hours (we believe in great work and trust)
  • Small team (16) with high output
  • Multiple deploys each day
  • 1-2 valuable features every week
  • Freedom to work across the whole stack
  • Time to refactor and remove code debt
  • Your input on the areas you wish to focus on matters

🌟 Some of our current stack:

  • Python with Django
  • NodeJs
  • React with Typescript
  • MongoDB
  • Postgresql
  • Elasticsearch
  • GCP

🟢 About Kindly:
Kindly is a growing SaaS company of 60+ employees, working out of Oslo, Stockholm, Copenhagen, and Amsterdam. Our chatbot platform helps big businesses and organizations around the world to automate and deliver world-class customer service. We leverage AI, GPT, and machine learning to build the world's most loved chatbot. We have over 150 incredible clients that include Elkjøp Nordic, Kahoot!, Voi, Norwegian, and Happy Socks – just to name a few. Our tech reaches over one million users every month and we handle thousands of messages every hour.

🌟 What you will do:
As a Backend & Machine Learning Engineer on the Product team, your job will be to:

  • Research, develop, and improve.
  • Continuously improve the platform while looking out for new opportunities.
  • Be responsible for all the stages of the feature development cycle
  • Discuss ideas, design, and take part workshops
  • Coordinate with other teams to deliver features of high complexity
  • Release features to thousands of users
  • Talk directly to customers (if you are comfortable with that)

🌟 Who we think you are:

  • 3+ years experience with backend development
  • Experience with Python and Django; Nodejs or Elixir is a plus
  • Experience with Postgresql, MongoDB, or other SQL/NoSQL databases
  • Commitment to the craft and the collaboration involved. Peer reviewing, and writing robust, reusable, and testable code.
  • Understanding of scalability and performance
  • Ability to lead or self-organize a project through the entire feature development life cycle

🌟 It’s a bonus if you have experience with:

  • DevOps
  • ElasticSearch
  • Kubernetes and Docker
  • CI/CD and automation
  • Terraform with a public cloud like GCP or AWS
  • High-level knowledge of AI and ML

🌟 What we offer that might be more normal, but good to know:

  • Option to buy stocks at a discount
  • Modern offices at Grünerløkka, Oslo
  • All devs and designers are located in Oslo
  • Social stuff (parties, morning sauna, Friday beers, ping pong table, good vibes)
  • Flexible work hours and location
  • 2-day bi-monthly Hackathon during work hours
  • Personal development hours during work hours (10 hours /month)

More to tell, but let's do that if you find this interesting.

Department Product Locations Oslo Remote status Hybrid

Contact Kevin Vaseghi Chief Operating Officer – Management

Colleagues

Gjermund Norderhaug

VP Product

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Kindly.ai

Trondheimsveien 2, bygg N,, NO-0560 Oslo

Kindly is a ubiquitous conversational commerce technology that companies can use in any way, shape, or form across website experiences.


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