Our R&D; team explores what is next — from AI/ML integration into enterprise workflows to experimenting with new architectures, protocols, and tooling. We are looking for a curious, self-directed engineer who enjoys going deep on hard problems, prototyping solutions, and turning research into production-ready capabilities that give our products an edge.
Responsibilities
Research and prototype AI/ML solutions for integration into enterprise products
Evaluate emerging technologies and assess their applicability to our product roadmap
Build proof-of-concept implementations and present findings to the engineering team
Collaborate with product teams to identify opportunities for intelligent automation
Develop internal tools and utilities that improve engineering productivity
Stay current with industry research and contribute to internal knowledge sharing
Document research findings,
architecture decisions, and implementation guides
Requirements
Solid foundation in computer science fundamentals — algorithms, data structures, systems design
Experience with Python and at least one ML/AI framework (PyTorch, TensorFlow, or similar)
Familiarity with LLMs, RAG architectures, or NLP pipelines is a strong plus
Ability to read and implement ideas from research papers
Experience building prototypes and proof-of-concepts that evolve into production features
Comfortable working with ambiguity and defining your own research direction
Minimum 1 year of experience in a research, ML, or advanced engineering role