How will you make an impact?

Write production code that meets our company’s high-quality and maintainability standards

Selecting the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning(ML) model depending on the use case

Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.

Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case

Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics

Work collaboratively with other squads and technical chapters.

You will be part of a mission-driven Agile team (Scrum/Kanban)

The Generative AI Engineer remote role has the following requirements:

You have 5+ years of professional experience writing production-level code in Python

You have experience using Generative AI, RAG and vector databases in production.

Experience with LLM frameworks (i.e. LangChain, LlamaIndex, Haystack) and prompt engineering techniques.

You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems

You’re well-versed with best practices in software development, including version control, testing, and continuous integration.

Have a keen interest in the fundamental knowledge of Data Science

Proactive attitude to challenge assumptions and come up with solutions

You are a collaborative learner and team player who strives for impact.

How can you earn bonus points?

Experience with Machine Learning Operations (MLOps) (i.e. Arize, Weights & Biases, MLFlow, Neptune)

End-to-end experience in training, evaluating, testing, and deploying ML solutions in production

Experience with the Hugging Face libraries

Interested?? Click to apply:Gen AI Engineer