Software Engineer – Artificial Intelligence
6 days ago
Practical skills required:
- Strong experience in software engineering, with a focus on AI-driven applications.
- Programming: Proficiency in Python and software engineering best practices.
- Cloud Expertise: Hands-on 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, no-SQL and Vector Databases & AI Tooling knowledge would be a plus
- Performance Optimization: Familiarity with techniques for optimizing AI applications for speed, efficiency, and cost-effectiveness in production environments.
- Problem-Solving Skills: Ability to analyse complex engineering challenges and integrate cutting-edge technologies to enhance AI solutions.
- Experience working in Agile development teams.
The successful candidate should also
- hold B.Sc., B.Eng., M.Sc., M.Eng. in Computer Science, Artificial Intelligence, Software Engineering or an equivalent degree and experience with Artificial Intelligence,
- be team-oriented and have the ability to work collaboratively in a fast-paced, 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+.
Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The PositionSoftware Engineer – Artificial Intelligence (GenAI)
Position overview:
We are looking for a highly skilled Software Engineer with expertise in building AI-powered applications. This role requires proficiency in Python, cloud-based AI services, DevOps practices, and data engineering expertise. The successful candidate will contribute to the development of AI-driven solutions, leveraging i.a. Large Language Models (LLMs), vector databases, and cloud-native tools to create innovative applications.
What you get:
- Salary range 20 000 - 27 000 PLN gross based on the employment contract (Umowa o pracę),
- 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.
,[Generative AI Application Development: Collaborate with developers and stakeholders in Agile teams to integrate Machine Learning models and other AI techniques into end-user applications, prioritizing usability, efficiency, and scalability., AI Service Integration: Design and implement AI applications using cloud-based services, such as vector databases, LLM APIs, and other AI-driven cloud offerings., Software Development & Engineering: Develop high-quality, maintainable, and scalable software solutions using Python, ensuring robust version control, testing, and adherence to best practices., Cloud-Native 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., End-to-End AI Pipeline Development: Design, develop, and maintain AI application workflows, including data preprocessing, model deployment, and continuous monitoring., Performance Optimization: Ensure efficient and optimized execution 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 API-driven data pipelines.] Requirements: GenAI, Python, AWS Cloud, CI/CD, Git, Docker, Kubernetes, Infrastructure as Code, SQL, NoSQL, AI, Azure, GCP Tools: Github, GitLab, GIT, Agile, Scrum. Additionally: Annual bonus, Private healthcare, Training budget, Conference budget, Work-life balance, Sport subscription, Recharge Fridays, Take time Program.-
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