Cloud DevOps Engineer - GenAI AI

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The Position

Cloud / DevOps Engineer GenAI / AI

Position overview:

We are looking for a highly skilled Cloud / DevOps Engineer with expertise in building AIpowered applications. This role requires proficiency in Python cloudbased AI services DevOps practices and data engineering expertise. The successful candidate will contribute to the development of AIdriven solutions leveraging i.a. Large Language Models (LLMs) vector databases and cloudnative tools to create innovative applications.

Your role:

• Generative AI Application Development: Collaborate with developers and stakeholders in Agile teams to integrate Machine Learning models and other AI techniques into enduser applications prioritizing usability efficiency and scalability.

• AI Service Integration: Design and implement AI applications using cloudbased services such as vector databases LLM APIs and other AIdriven cloud offerings.

• Software Development & Engineering: Develop highquality maintainable and scalable software solutions using Python ensuring robust version control testing and adherence to best practices.

• CloudNative Development: Work with AWS and other cloud platforms to design deploy and manage scalable AI solutions. Utilize cloud services including serverless architectures containers and managed AI tools.

• DevOps & CI/CD Implementation: Implement CI/CD pipelines automate testing and deployment processes and manage software versioning using Git Gitlab and other DevOps tools.

• Containerization & Orchestration: Develop and deploy applications using Docker and Kubernetes to ensure portability and scalability.

• EndtoEnd AI Pipeline Development: Design develop and maintain AI application workflows including data preprocessing model deployment and continuous monitoring.

• Performance Optimization: Ensure efficient and optimized of AI models improving inference speed reducing latency and managing resource utilization.

• Data Engineering Foundations: Work with structured and unstructured data including vector databases relational and NoSQL databases and APIdriven data pipelines.

Practical skills required:

• Strong experience in software engineering with a focus on AIdriven applications.

• Programming: Proficiency in Python and software engineering best practices.

• Cloud Expertise: Handson experience with AWS cloud services additional experience with Azure or GCP is a plus.

• DevOps & CI/CD: Strong understanding of version control (Git) CI/CD pipelines containerization (Docker Kubernetes) and Infrastructure as Code (Terraform CloudFormation).

• AI Deployment: Experience deploying AI applications in cloud environments ensuring scalability security and high availability.

• SQL noSQL and Vector Databases & AI Tooling knowledge would be a plus

• Performance Optimization: Familiarity with techniques for optimizing AI applications for speed efficiency and costeffectiveness in production environments.

• ProblemSolving Skills: Ability to analyse complex engineering challenges and integrate cuttingedge technologies to enhance AI solutions.

• Experience working in Agile development teams.

The successful candidate should also

• hold . . . . in Computer Science Artificial Intelligence Software Engineering or an equivalent degree and experience with Artificial Intelligence

• be teamoriented and have the ability to work collaboratively in a fastpaced dynamic environment

• be a good communicator

• be willing to learn and expand their skill set

• be able to communicate in English at the level of: B2/C1.

What you get:

• Salary rangePLN gross based on the employment contract (Umowa o prac)

• Annual bonus payment based on your performance;

• Dedicated training budget (training certifications conferences diversified career paths etc.;

• Recharge Fridays 2 Fridays off per quarter available)

• Take time Program (up to 3 months of leave to use for any purpose)

• Flex Location (possibility to perform our work from different places in the world for a certain period of time)

• Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice)

• Private healthcare LuxMed packages) and group life insurance (UNUM);

• Stock share purchase additions;

• Yearly sales of company laptops and cars and many more

This is a hybrid role with two office days per week.

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