senior ai ml solution engineer, ai-native development

you will work at the intersection of  Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and ca

דרישות:

what we need to see:
hold a m.sc. or ph.d. in  Computer Science, electrical or computer engineering from a leading university (or equivalent experience).
5+ years of industry experience (or equivalent) in ai pipelines architecture or related fields.
industry experience building and shipping ai-powered tools or ml pipelines (not just training models - end-to-end delivery).
strong understanding of llm capabilities and limitations - prompt engineering, fine-tuning, rag, agent architectures.
experience with at least two of: reinforcement learning, classical ml,  NLP /information retrieval, evaluation framework design.
can reason about trade-offs: when to use which approach, with real reasoning backed by shipping experience.
strong programming skills (  Python required; familiarity with ml frameworks - pytorch, huggingface, etc.).
ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
ways to stand out from the crowd: