Artificial Intelligence & Machine Learning Engineer

We are hiring a Software Engineer in the Artificial Intelligence & Machine Learning job family to join our Enterprise AI Platform team in Israel.

The platform powers AI-assisted engineering workflows across Sandisk and is built on a hybrid on-prem and cloud architecture with agentic orchestration, an MCP ecosystem, an LLM gateway, and memory and knowledge layers. This role focuses on the AI harness: the platform's agentic command-line tooling and the framework of skills, tools, memory, and guardrails that turn a general-purpose model into a governed engineering agent.

As part of the role, you will build distributed software systems and apply them to the runtime, integrations, and evaluation loops that make AI agents reliable inside Sandisk's engineering environment. You will work closely with platform engineers in the US and India and with the firmware, validation, and lab teams in Israel who use the harness every day.

Essential Duties & Responsibilities:
Harness Development: Build and extend the platform's agentic harness, including the CLI runtime, the framework of skills and tool definitions, context and memory management, sandboxing, and execution hooks that govern what an agent is allowed to do.

Distributed Systems: Design and implement the services behind the harness: gateway integrations, session and state management, job execution, caching, and the secure paths that connect developer machines to on-prem platform services.

AI Ecosystem Contribution: Develop MCP servers, skills, and integrations that expose engineering data and tools (Jira, test management, lab benches, internal systems) to agents in a governed way. Contribute reusable components back to the shared platform framework.

Applied AI Understanding: Use working knowledge of how LLM-based systems behave in practice, including tool calling, context windows, prompt and skill design, token cost, failure modes, and evaluation, to make agent workflows predictable and cost-aware.

Reliability & Observability: Instrument harness components with tracing, metrics, and evaluation pipelines. Debug agent behavior end-to-end across the CLI, gateway, and model layers. Participate in incident response and postmortems.

Engineering Quality: Write well-tested, maintainable code. Build automated tests and evaluation suites for agent behavior. Take part in code and design reviews.

Local Partnership: Act as the platform's engineering presence in Israel. Gather requirements from teams adopting the harness, support early users, and feed learnings back into the roadmap.

Continuous Learning: Track advances in agent frameworks, coding agents, MCP, and AI infrastructure, and bring practical improvements into the harness.

Required:
Bachelor's degree in Computer Science, Software Engineering, or a related field.

2 to 3 years of professional software engineering experience building and operating backend or distributed systems in production.

Strong proficiency in Python; working knowledge of TypeScript/JavaScript. Hands-on experience designing services, REST or GraphQL APIs, asynchronous and event-driven systems, and reliable client-server communication.

Practical understanding of how modern AI systems work: LLM APIs, tool and function calling, context and memory management, RAG, embeddings, and evaluation. Able to explain why an agent failed, not only that it did.

Experience with, or demonstrated interest in, agentic frameworks and protocols such as LangGraph, LangChain, and the Model Context Protocol (MCP).

Experience with Docker and containerized deployments; exposure to Kubernetes and hybrid on-prem and cloud environments.

Working knowledge of relational databases (PostgreSQL), in-memory stores (Redis / Valkey), and vector databases.

Familiarity with enterprise security and identity basics: OAuth, OIDC, SSO, and secrets handling.

Comfortable in Linux and terminal-centric development workflows, including Git and CI/CD.

Preferred:
Bachelor's degree in computer science, artificial intelligence, or a related field.

Experience using and extending AI coding agents or agentic CLIs (Claude Code, Codex, Cursor, Gemini CLI, or similar) beyond basic usage: custom tools, skills, hooks, or MCP servers.

Familiarity with at least one systems language (Go, Rust, Java, or C++).

Exposure to embedded, firmware, or storage-systems engineering, or to lab automation and hardware-in-the-loop testing.

Contributions to open-source AI tooling, or a portfolio of agent-based projects.

Experience with observability and evaluation tooling for LLM applications (OpenTelemetry, Langfuse, Grafana, or similar).

Clear written communication and the ability to work across time zones with distributed teams.

Curiosity, pragmatism, and a habit of delivering small, tested increments.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.