AI Developer
4 days ago
We are on a mission to revolutionize the daily experiences of frontline workers with cutting-edge AI solutions. As an AI Engineer at Beekeeper, you will play a pivotal role in designing, building, and deploying these innovative solutions.
Our Approach- We leverage the best technologies to create impactful AI solutions.
- Our cloud infrastructure is managed using Spacelift and Terraform, ensuring scalability and high performance.
- Our services run in containers using Kubernetes (EKS and GKE), managed with Helm and FluxCD.
As a member of our dedicated product squads, you will collaborate closely to design, implement, and deploy AI-driven features. You will have ample opportunities to grow your career alongside our talented technical and product teams.
Key Responsibilities- Integrate cutting-edge AI models into our products.
- Deploy and maintain AI solutions in production.
- Collaborate with product squads to add AI-driven features.
- Develop and automate MLOps pipelines and infrastructure.
- Monitor and enhance the quality and cost effectiveness of our AI services.
- Proficiency in Python and Java.
- Strong understanding of Deep Learning and Generative AI.
- Familiarity with TensorFlow, PyTorch, and scikit-learn.
- A competitive salary.
- Phone and Home Internet costs reimbursement up to 80 PLN/month.
- A private healthcare package with Luxmed – covered for you and partially for your partner/family.
- Cafeteria benefits – a monthly budget to cover sport cards or other purchases.
- A creative allowance – paid as 1000 PLN gross/month.
- A home office set-up reimbursement up to 1000 PLN.
- A Personal Learning & Development Budget of 1000 USD/year.
- A Sabbatical Program – 1 month paid leave at 3, 6, 10 year tenure.
- 26 days of annual leave/year.
- 2 Mental Health days off per year.
- A laptop for work purposes.
- A hybrid working model.
- And don't forget about our Beekeeper Stock options.
- AI: We utilize the best technologies, including AWS.
- Cloud Infrastructure as Code: We operate on AWS and GCP across multiple regions and manage our infrastructure using Spacelift and Terraform.
- Container Orchestration: Our services run in containers using Kubernetes (EKS and GKE) managed with Helm and FluxCD.
- Backend Services: Predominantly built in Java using Quarkus, Python, with a focus on high performance and scalability. We use Apache Kafka as an event bus.
- Data Stores: We utilize PostgreSQL, ClickHouse, MySQL, and Elasticsearch.
- Monitoring and Logging: Implemented through Prometheus, Grafana, and ELK stack.
At Beekeeper AG, we foster a flat structure, small teams, and international projects. We prioritize training budgets, private healthcare, and a friendly atmosphere. Enjoy integration events, additional time off, a creative allowance, stock options, and the option to work from abroad for up to 60 days. And that's not all – we offer free coffee, bike parking, free snacks, free beverages, in-house trainings, a startup atmosphere, and no dress code.
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