Full-Time Prompt Engineer - genAI use-case developer
Applus IDIADA is hiring a remote Full-Time Prompt Engineer - genAI use-case developer. The career level for this job opening is Experienced and is accepting Tarragona, Spain based applicants remotely. Read complete job description before applying.
Applus IDIADA
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The Digital Business team develops promising digital solutions for global products and processes, organizes IDIADA information, and provides fast, reliable ways to exploit it. Aims to be the most digital, innovative, and customer-oriented company, reducing digital operation costs and increasing service value.
What can we offer you?
- Young, dynamic, multicultural team (90+ Software Engineers)
- Passionate team committed to high standards in software development
- Agile environment with Scrum, code review, retrospectives, and innovation
- Design, implement, and validate GenAI applications for automotive industry
- Large growing organization at the forefront of AI innovation
Our tech stack:
- Python
- NLP libraries and frameworks
- LLMs and foundation models
- AWS cloud infrastructure (including AWS SageMaker)
- RESTful integration services
What are we looking for?
Prompt Engineer - GenAI Use Case Developer to join the Digital Solutions - DataLab team.
Develop and implement innovative GenAI use cases for automotive engineering projects.
- Design, develop, and optimize process & prompts for GenAI applications
- Identify and develop GenAI use cases in automotive industry
- Collaborate with stakeholders, ML/AI engineers, and domain experts
- Analyze and interpret results to improve performance and user experience
- Stay up-to-date with GenAI advancements
Profile:
- Demonstrated experience working with LLMs and prompt engineering
- 2+ years experience in AI/ML projects, focusing on NLP and generative AI
- Strong knowledge of GenAI fundamentals, techniques, and best practices
- Expertise in NLP techniques, NLTK, LangChain, LlamaIndex, LangGraph, AutoGen, and CrewAI
- Experience in developing and implementing GenAI use cases
- Familiarity with text analysis, data chunking, embedding, and information retrieval
- Knowledge of or experience with AWS framework
- Strong problem-solving skills and creative thinking about AI solutions
- Excellent communication skills, understanding requirements, proposing solutions, and explaining AI concepts to non-technical stakeholders
Education:
- Bachelor's degree in Computer Science, Software Engineering, Computational Linguistics, or related field
- Master's degree in AI, Machine Learning, or Data Science (preferred)
Languages:
- Fluent in Spanish and English
Applus IDIADA is committed to equality, diversity and inclusion.