We are looking for an outstanding experienced manager to join our leading AI team. The team is developing cutting-edge AI applications including: Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) implementations, large scale AI Agents, MCPs, recommendation engines, classical AI models such as clustering, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. In this role, you will manage a team of AI/ ML engineers, lead the innovation and development the different solutions, and collaborate with cross-company teams. We are looking for an experienced, hard working manager who can collaborate effectively and has a deep technical capabilities in both AI/ML and software development.
What you'll be doing:
Manage a team of 6-8 engineers.
Formalize the team work methodologies, collaboration, etc.
Provide technical leadership, mentorship, and guidance to foster team growth.
Supervise and build AI best in class solutions, including data ingestion, RAG, MCPs, Agents, self service, and more.
Be a part of an experienced team with a great atmosphere.
Collaborate with cross-functional teams to identify and implement AI opportunities.
Requirements: What we need to see:
B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field.
4+ years of experience in a managerial role.
3+ years of experience implementing production AI/ML systems.
8+ overall years of experience in software development.
Strong understanding of modern Machine Learning domains, known algorithms, architectures and techniques.
Proficiency in Python.
Capable of multi-tasking, ability to drive both people and tasks.
Effective communication and collaboration skills.
Demonstrated leadership with the ability to inspire and motivate team members.
Ways to stand out from the crowd:
Track record of delivering high-quality work on time and meeting project timeline.
Experience developing large scale software, Understanding of SOLID principles and design patterns.
Knowledge of LLM techniques.
Background implementing RAG systems in production environments.
Experience with vector databases and embedding technologies.
This position is open to all candidates.