Generative AI Engineer

⭐ 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)

⭐ What makes you a great fit?

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 extra 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