Informacje o stanowisku

Beekeeper and LumApps merged to create the first AI-powered Employee Hub, an all-in-one platform designed to connect and empower every employee - whether desk-based or frontline. LumApps, a SaaS platform dedicated to Employee Experience, helps companies drive digital transformation in communication, collaboration, and engagement with their clients, partners, and, most importantly, their employees. Together, our mission is to redefine the employee experience by integrating communication, productivity, and engagement tools into a unified, intelligent platform that serves over 7 million users globally.

As a Senior AI Engineer, you will play a pivotal role in our mission by designing, building, and deploying cutting-edge AI solutions for our customers. This high-impact role gives you the ability to shape how AI is used and perceived across an entire industry. You will catapult your career with opportunities to showcase your work alongside industry leaders, as we recently did with AWS.

You will collaborate closely with one of our dedicated product squads to design, implement, and deploy AI solutions for our customers. Working alongside our talented technical and product teams, you will have ample opportunities to grow your career.

Our tech stack:

• AI: We make use of the best of Google Vertex AI technologies, we build agents with AWS Strands
• Cloud Infrastructure as Code: We operate on GCP and AWS across multiple regions and we manage our infrastructure using Spacelift and Terraform.
• Container Orchestration: Our services run in containers using Kubernetes (EKS and GKE) managed with Helm and FluxCD/ArgoCD.
• Backend Services: Predominantly built in Python.
• Data Stores: We utilize PostgreSQL, MySQL, ClickHouse, BigQuery, Redis, and Elasticsearch.
• Monitoring and Logging: Implemented through Prometheus, Datadog, Grafana

What we offer

• Competitive salary
• Phone & Home Internet costs reimbursement up to 80 PLN/month
• Private health care package with Luxmed – covered for you and partially for your partner / family
• Cafeteria benefits – monthly budget to cover sport cards or other purchases
• Creative Allowance – paid as 1000 PLN gross/month
• Home office set-up reimbursement up to 1000 PLN
• Personal Learning & Development Budget of 1500 USD/year
  
• 26 days of annual leave/year
• 2 Mental Health days off per year
• Laptop for work purposes
• Hybrid working model
  

Benefits listed above are part of the compensation package for a contract of employment. 

What we look for in you

• Proven experience as a Software Engineer with 5+ years in backend development
• Strong programming skills in Python
• Solid understanding of Generative AI and Deep Learning models (classification, regression, clustering)
• Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Proven ability to rapidly prototype and iterate on deploying Generative AI solutions
• Knowledge and Experience in techniques to deliver high quality output from Large Language Models
• A high degree of pragmatism, focus on shipping fast and able to adapt to changing business needs that go hand in hand with the speed of innovation in AI

Bonus Points

• Fluency in Java
• Experience shipping machine learning models to production
• Familiarity with MLOps pipelines and infrastructure for LLMs in the cloud
• Open source contributions in this space
• Relevant scientific publications in AI/ML

Beekeeper and LumApps merged to create the first AI-powered Employee Hub, an all-in-one platform designed to connect and empower every employee - whether desk-based or frontline. LumApps, a SaaS platform dedicated to Employee Experience, helps companies drive digital transformation in communication, collaboration, and engagement with their clients, partners, and, most importantly, their employees. Together, our mission is to redefine the employee experience by integrating communication, productivity, and engagement tools into a unified, intelligent platform that serves over 7 million users globally.

As a Senior AI Engineer, you will play a pivotal role in our mission by designing, building, and deploying cutting-edge AI solutions for our customers. This high-impact role gives you the ability to shape how AI is used and perceived across an entire industry. You will catapult your career with opportunities to showcase your work alongside industry leaders, as we recently did with AWS.

You will collaborate closely with one of our dedicated product squads to design, implement, and deploy AI solutions for our customers. Working alongside our talented technical and product teams, you will have ample opportunities to grow your career.

Our tech stack:

• AI: We make use of the best of Google Vertex AI technologies, we build agents with AWS Strands
• Cloud Infrastructure as Code: We operate on GCP and AWS across multiple regions and we manage our infrastructure using Spacelift and Terraform.
• Container Orchestration: Our services run in containers using Kubernetes (EKS and GKE) managed with Helm and FluxCD/ArgoCD.
• Backend Services: Predominantly built in Python.
• Data Stores: We utilize PostgreSQL, MySQL, ClickHouse, BigQuery, Redis, and Elasticsearch.
• Monitoring and Logging: Implemented through Prometheus, Datadog, Grafana

What we offer

• Competitive salary
• Phone & Home Internet costs reimbursement up to 80 PLN/month
• Private health care package with Luxmed – covered for you and partially for your partner / family
• Cafeteria benefits – monthly budget to cover sport cards or other purchases
• Creative Allowance – paid as 1000 PLN gross/month
• Home office set-up reimbursement up to 1000 PLN
• Personal Learning & Development Budget of 1500 USD/year
  
• 26 days of annual leave/year
• 2 Mental Health days off per year
• Laptop for work purposes
• Hybrid working model
  

Benefits listed above are part of the compensation package for a contract of employment. 

,[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, Ensure AI systems are fair, ethical, and unbiased Requirements: Python, Java, Deep learning, Generative AI, TensorFlow, PyTorch, scikit-learn Tools: Jira, Confluence, Wiki, GitHub, GIT, Jenkins, Agile, Scrum. Additionally: Training budget, Private healthcare, Flat structure, Small teams, International projects, Multisport, Friendly atmosphere, Integration events, additional time off, creative allowance, work from abroad option (60 days), Free coffee, Bike parking, Free snacks, Free beverages, In-house trainings, Startup atmosphere, No dress code, In-house hack days, Modern office.

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