GenAI Developer at Stantec contributing to enterprise AI systems and architectural guidance. Collaborating with data scientists and engineers to deliver scalable, secure solutions.
About the role
- AI Engineer in backend team at Caplena developing features and integrations to extract insights from feedback. Collaborating with team leads and enhancing application performance through AI.
Responsibilities
- Develop new features (e.g. integrations with other apps, new internal & public API endpoints)
- Enable our application to discover interesting trends and statistics in our data
- Infuse AI into every part of our app (it's already in a lot of places ofc)
- Improve our agent and chatbot
- Improve performance of endpoints (we're dealing with 1M row queries 🏋🏾)
- Fix bugs 🪲
Requirements
- Master's degree in Computer Science, Software Engineering, Data Science, related field or equivalent practical experience
- At least 2 years of professional experience in building backend systems with Python and solid knowledge of SQL Databases
- First experience building applications that leverage GenAI
- Solid foundations in Data Science and statistics
- Strong analytical skills and knowledge of datastructure and algorithms
- You are familiar with web APIs (mostly REST)
- Performance issues are challenges you indulge in, not something you dread
- Track record of getting features shipped for customer-facing applications
- Solid written communication in English; German not required but a plus
- Located in an EU country or Switzerland
- Fast learner, with a resourceful and independent mindset
- Upbeat team player
- Bonus: You have knowledge of Django and / or Django Ninja
- Some experience with Kubernetes
- Cloud Devops exposure (we're on GCP)
- Experience with Clickhouse is a plus
Benefits
- Exciting, growing product 🔥
- Modern & scalable tech-stack (GCP; Gemini; Kubernetes; Django; Postgres; Clickhouse; OpenAI; Redis; Vue; Vuex; eCharts)
- Solid tooling (CI/CD; issue monitoring; session replay etc.)
- Quick & inclusive decision-making; (AI engine, API, Frontend, DevOps)
- Driven & down-to-earth team
- Office near Zurich HB (easy to access by public transport, and we have great coffee!)
- Team events
- Choice of OS: macOS or Linux
- Full-time; flexible working hours; remote or office depending on location
- 25 days PTO/year
- Competitive compensation & equity
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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