Artificial Intelligence Engineer, Machine Learning

Job not on LinkedIn

🔥 13 hours ago

🇮🇱 Israel – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Western Digital

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1970

🏭 Manufacturing

📦 Logistics

💼 Consulting

💰 $900M Post-IPO Equity on 2023-01

Manufacturing • Logistics • Consulting

Western Digital is a leading manufacturer of data storage solutions, including solid state drives (SSDs), hard drives (HDDs), USB flash drives, and memory cards. The company provides a broad range of products for various uses, such as gaming, video surveillance, and data backup. They also offer solutions for data centers, network-attached storage (NAS), and digital photography. Western Digital is renowned for their innovation in developing storage technologies that meet the needs of both consumers and businesses.

📋 Description

• Build and extend Sandisk's agentic AI harness, including CLI runtime, skills and tool definitions, context and memory management, sandboxing, and execution hooks • Design and implement gateway integrations, session and state management, job execution, caching, and secure connections between developer machines and on-premises services • Develop MCP servers, skills, and integrations exposing Jira, test management, lab benches, and internal systems to governed agents • Contribute reusable components to the shared platform framework • Apply knowledge of LLM behavior, tool calling, context windows, prompt and skill design, token costs, failure modes, and evaluation • Instrument components with tracing, metrics, and evaluation pipelines • Debug agent behavior across CLI, gateway, and model layers • Participate in incident response, postmortems, code reviews, and design reviews • Write maintainable code, automated tests, and agent evaluation suites • Act as the platform's engineering presence in Israel, gather requirements, support early users, and inform the roadmap • Track advances in agent frameworks, coding agents, MCP, and AI infrastructure and incorporate practical improvements

🎯 Requirements

• 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 • Experience designing services, REST or GraphQL APIs, asynchronous and event-driven systems, and reliable client-server communication • Practical understanding of LLM APIs, tool and function calling, context and memory management, RAG, embeddings, and evaluation • Experience with or demonstrated interest in LangGraph, LangChain, and Model Context Protocol (MCP) • Experience with Docker and containerized deployments; exposure to Kubernetes and hybrid on-prem and cloud environments • Working knowledge of PostgreSQL, Redis/Valkey, and vector databases • Familiarity with OAuth, OIDC, SSO, and secrets handling • Comfortable with Linux, Git, CI/CD, and terminal-centric development workflows • Preferred: experience using and extending AI coding agents or agentic CLIs • Preferred: familiarity with Go, Rust, Java, or C++ • Preferred: exposure to embedded, firmware, storage-systems engineering, lab automation, or hardware-in-the-loop testing • Preferred: contributions to open-source AI tooling or a portfolio of agent-based projects • Preferred: experience with OpenTelemetry, Langfuse, Grafana, or similar observability and evaluation tooling • Clear written communication and ability to work across time zones with distributed teams • Curiosity, pragmatism, and habit of delivering small, tested increments

🏖️ Benefits

• Inclusive environment focused on belonging, respect, and contribution • Opportunities for applicants with disabilities • Accommodation support during the hiring process