# Senior AI ML Solution Engineer, AI-Native Development

**Company**: NVIDIA
**Location**: Tel Aviv
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Tel-Aviv/Senior-AI-ML-Solution-Engineer--AI-Native-Development_JR2014686?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0fe428ba-cef

## Description

### Job Summary

As a Senior 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 organisation.

### Key Responsibilities

- 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 calibrate AI review depth per level.

### Requirements

- 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.

### Nice to Have

- Experience with LLM-based code generation, code review, or developer tooling.

- Familiarity with eval frameworks and feedback loop design (online and offline evaluation).

- Experience with AI agent orchestration (multi-agent systems, tool use, planning).

- Shown research track record (publications, open-source contributions).

- Knowledge of AI-assisted development tools and their underlying architectures.

## Skills

### Required
- LLM
- fine-tuning
- RAG
- agent architectures
- reinforcement learning
- classical ML
- NLP/information retrieval
- evaluation framework design
- Python
- PyTorch
- HuggingFace

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Tel-Aviv/Senior-AI-ML-Solution-Engineer--AI-Native-Development_JR2014686?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)