Must have

• NLP

• Python

• Go

• TypeScript

• API

• Cloud

• AWS

• Azure

• GCP

• GitHub

• CI/CD Pipelines

• Terraform

• English (C1)

Requirements description

Who you are:

• Understanding of LLMs, their applications, RAG architecture, prompt engineering, and using LLM APIs (e.g., OpenAI)
• Hands-on experience with LangChain, LlamaIndex, vector databases (e.g., Qdrant), and knowledge of NLP concepts (tokens, embeddings, vector processing)
• Proficient in at least one programming language (e.g., Python, Go, TypeScript)
• Experience with API management, cloud AI deployments (AWS/Azure/GCP), and AI tools (e.g., GitHub Copilot
• Understanding CI/CD pipelines and tools (e.g., Terraform)
• Strong ability to collaborate with cross-functional teams, including Data Scientists and Product Managers, combined with excellent analytical, problem-solving skills, and adaptabilit
• Professional communication skills in English

Offer description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

At Roche we focus on the long - term, leading investment in research and development, striving to improve lives today and for generations to come. Poland plays the role of Technology Co-creation and Acceleration Hub building capabilities driving digital innovation. In Roche Informatics we are a diverse team of open and friendly people, enthusiastic about technological novelties and optimal IT solutions.

In line with our Roche Group AI Strategy and our 10-Year Ambition to “Transform our business with data & digital solutions,” we are developing AI capabilities across all levels of the organisation — from EverydayAI, which enhances individual productivity, to Reshape initiatives, which reimagine business processes, to Big Ideas, which push the boundaries of what’s possible in healthcare.

We are looking for a Custom Software Engineer eager to develop and implement AI-powered solutions within Roche's technology ecosystem. The ideal candidate should have a good foundation in software development, a willingness to upskill in AI and Generative AI technologies, and the ability to integrate large language models (LLMs) into applications and software development processes (testing, refactoring, requirements management, deployment).

Example projects you may work on:

• AI-powered development tools for engineering productivity
• AI-driven automation for software quality and security
• AI integration in DevOps workflows to accelerate delivery
• Optimizing cloud AI applications for performance and cost efficiency
• Experimenting with Generative AI for software innovation

What you get:

• Salary range 23 000 - 28 000 PLN gross based on the employment contract (Umowa o pracę), depending on qualifications and expertise.
• 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), group life insurance (UNUM) and Multisport.
• Stock share purchase additions.
• Yearly sales of company laptops and cars and many more.

Interested? Don't wait. Just apply!

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Your responsibilities

1. Design, develop, and optimize AI-powered applications within Roche’s ecosystem.
2. Integrate Large Language Models (LLMs) into software applications, leveraging APIs, prompt engineering, and contextual learning techniques.
3. Utilize cloud-based AI services (AWS, Azure, or GCP) to build scalable and efficient AI-driven workflows.
4. Collaborate with internal teams to enhance software engineering practices through AI automation and optimization.
5. Contribute to Roche’s AI strategy by identifying opportunities for automation and efficiency improvements.
6. Knowledge sharing - creating technical articles, training sessions (looking for the right phrase?) workshops.