Senior AI ML Solution Engineer, AI-Native Development

As an AI/ML Solution Engineer in the AI-Native Development team, you will design and build AI-powered development pipelines, evaluate ML approaches for code generation and review, and drive the adoption of AI-assisted software development across the organization. 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:

Drive architecture, applied research, and hands-on development by defining and building AI-native software engineering solutions.

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.

Arch

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 software architecture, hands-on development, AI/ML, applied research, or related fields.

Strong background in software or solution architecture, applied AI/ML research, or hands-on development of production-grade AI systems.

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.

Strong understanding of AI development and evaluation pipelines.

Can reason about trade-offs: when to use which approach, with real reasoning backed by shipping experience.

Strong programming