Python Developer (AI, RAG & Prompt Engineering)

Multiplied

Hoofddorp, Netherlands

about 2 months ago

Apply on www.multiplied.nl

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

Dutch, English

Job source

www.multiplied.nl

Tech stack

Artificial Intelligence Software Applications Software Quality Database Design Python (Programming Language) Software Construction SPARQL TypeScript Large Language Models Prompt Engineering Generative AI Api Design

Job description

Are you an experienced Python Developer with a passion for Artificial Intelligence and Large Language Models (LLMs)? We are looking for a talented professional to help drive the development of innovative AI solutions within our organization.

As a Python Developer (AI, RAG & Prompt Engineering), you will play a key role in the development, enhancement, and stability and AI-powered applications. You will work on advanced challenges involving context engineering, knowledge retrieval, and intelligent automation, helping to shape the future of AI-driven solutions across the business.

This position requires a combination of strong technical expertise, strategic thinking, and effective collaboration with stakeholders across multiple disciplines., * Design, develop, and maintain scalable, high-performance AI solutions.

Build and optimize applications powered by Large Language Models (LLMs).
Implement and improve Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
Contribute to technical architecture decisions and long-term AI strategy.
Ensure code quality, maintainability, and adherence to software engineering best practices.
Identify, evaluate, and implement innovative AI technologies and solutions.
Collaborate closely with business stakeholders, data specialists, and development teams to deliver impactful AI products.

Requirements

Extensive experience in Python software development.
Hands-on experience with prompt engineering and LLM-based applications.
Strong knowledge of vector databases (e.g., Weaviate), knowledge graphs, and Retrieval-Augmented Generation (RAG).
Experience with API development and database design and management.
Proven experience with context engineering across multiple LLM platforms.
Knowledge of ontologies and SPARQL is considered a plus.
Experience with Go and/or TypeScript is a plus.

Personal Qualities

Strong analytical and problem-solving skills.
Strategic mindset with the ability to balance technical detail and big-picture thinking.
Excellent verbal and written communication skills in both Dutch and English.
Passion for innovation and emerging technologies.
Proactive, collaborative, and able to work effectively with both technical and non-technical stakeholders.