What you will do

As a Software Engineer specializing in Generative AI projects, you will be involved in developing and deploying cutting-edge AI solutions within the Azure ecosystem. Collaborating closely with Data Scientists, AI Engineers, and DevOps, you will integrate AI-driven capabilities into our business applications, ensuring they are scalable, secure, high-performing and high quality. 

Our mission is to harness Artificial Intelligence to revolutionize enterprise processes, embedding AI deeply into our business framework. Your expertise in Azure services and AI/ML technologies will be crucial in realizing this vision. 

How you will get the job done 

• creating, developing, and deploying AI/ML-based applications using Azure services
• developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases
• building and maintaining APIs and microservices to efficiently serve AI/ML-based solutions to customers
• streamlining model operationalization and developing model inference backend
• ensuring all AI solutions adhere to security, development and governance standards
• writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization
• creating clear, concise technical documentation for developed components
• working in Agile/Scrum teams to deliver high-quality applications on schedule
• working closely with Data Scientists and AI Engineers to integrate AI/L into business solutions

What we offer

Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

Requirements

• fluency in English
• strong command of Python for AI/ML development
• hands-on experience with Azure AI/ML services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services
• understanding of Generative AI, LLMs, ML, and (optionally) Natural Language Processing (NLP) technologies
• proven experience in developing and maintaining RESTful APIs and microservices
• solid understanding of CI/CD pipelines and DevOps best practices within the Azure environment
• familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying AI models
• ability to thrive in an Agile environment and work effectively with multidisciplinary teams

Technology we use 

• Cloud & AI/ML: Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Data Factory, Azure Blob Storage, Azure DevOps, AKS
• Development Tools: Azure DevOps, Databricks, Python, Docker, Kubernetes/AKS
• MLOps: MLflow (Databricks)

Nice to have 

• experience in deploying Generative AI, LLM and ML
• experience working with vector databases
• knowledge of prompt engineering and strategies for LLM orchestration
• proficiency in Python code development in compliance with coding practises and industry standards
• practical experience with AI security measures and model governance