Mid / Senior AI Engineer @

2 tygodni temu

Kraków, Lesser Poland Beekeeper AG Pełny etat

Are you passionate about leveraging artificial intelligence to make a meaningful difference in the lives of millions of frontline workers? At Beekeeper, we're dedicated to enhancing the daily experiences of those who keep our world running smoothly. As an  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. As an  AI Engineer at Beekeeper, 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 technology stack AI: We make use of the best of bread technologies (we recently collaborated with AWS) Cloud Infrastructure as Code: We operate on AWS and GCP 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 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 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 1000 USD/year 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 Laptop for work purposes Hybrid working model Oh and don't forget about our Beekeeper Stock options Benefits listed above are part of the compensation package for contract of employment. For B2B contract we offer only some of them. What we look for in you Proven experience as a  Software Engineer with 3+ years  in backend development Strong programming skills in  Python  and  fluency in Java 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) Experience using Cloud AI tool sets Like AWS Bedrock Hands-on experience in  Prompt Engineering Proven ability to  rapidly prototype  and  iterate  on deploying Generative AI solutions Awareness and Knowledge of emerging technologies within the AI space (e.g. Model Context Protocol) Knowledge and Experience in techniques to deliver high quality output from Large Language Models Experience in deploying agents for real world applications 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 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 Are you passionate about leveraging artificial intelligence to make a meaningful difference in the lives of millions of frontline workers? At Beekeeper, we're dedicated to enhancing the daily experiences of those who keep our world running smoothly. As an  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. As an  AI Engineer at Beekeeper, 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 technology stack AI: We make use of the best of bread technologies (we recently collaborated with AWS) Cloud Infrastructure as Code: We operate on AWS and GCP 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 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 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 1000 USD/year 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 Laptop for work purposes Hybrid working model Oh and don't forget about our Beekeeper Stock options Benefits listed above are part of the compensation package for contract of employment. For B2B contract we offer only some of them. ,[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, Stock options, 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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