דרושים » AI » מפתח.ת AI

Requirements:
Proven, hands-on experience building and shipping AI-powered tools, agents, or pipelines in production environments
Builder / vibe coder mindset - uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering tiket
Strong analytical foundation: pricing or business scenario modeling, experimentation design, usage data analysis
Proficiency in Python and SQL; comfortable with LLM APIs, prompt engineering, and agentic frameworks
Experience working cross-functionally with Product, Finance, and go-to-market teams in a B2B SaaS environment
Ability to connect systems independently: APIs, webhooks, data pipelines
Strong communication and collaboration skills across diverse teams
Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment
Comfortable learning and applying new technologies, tools, and methodologies
5+ years in AI/ML engineering, product analytics, or a closely related builder role

Requirements:
Bachelors / Master's degree or PhD in Computer Science or a related technical field, specialisation in Security or AI/ML or an exceptional, well-evidenced track record substituting for it
10+ years of software engineering experience, including a track record of owning the architecture of complex systems at enterprise scale
A track record of setting technical direction beyond your own team - architecture or standards other teams adopted, senior engineers you've levelled up, and comfort operating where the problem isn't yet defined
7+ years in security engineering - network and systems security, security protocols, design reviews, and threat modeling - with a focus on AI-specific work in recent years
Multiple demonstrated engagements threat modeling and/or securing LLM, GenAI, or agentic systems, with evidence of platform-level or cross-team impact
Personal ownership of prompt injection / jailbreak defense, guardrail architecture, or AI red-teaming programs - ideally having built the program/methodology, not just executed within one
Deep, applied experience securing model, RAG, or data pipelines, including having designed the access-control and data-governance model others build against
Fluency with the OWASP LLM Top 10 (or equivalent) to the point of extending, critiquing, or contributing to such frameworks - not just applying them
Deep hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph)
Clear communication, a collaborative default, and a bias toward learning fast in a field that changes constantly
Bonus
Strong command of auth protocols (OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (MCP, A2A), including having designed identity/consent models for them
Built and open-sourced (or productized) security tooling/automation for AI systems now used beyond one team
Track record of CVEs, top-tier publications, or invited talks specifically in AI/ML or LLM security
Prior experience setting AI security strategy at a platform or company level, not just a single product
5+ years of programming experience in Java or Python.

Requirements:
Your Experience:
Bachelors degree in computer science or an engineering-related field.
8+ years of experience in software development.
Experience with cloud infrastructure (e.g., AWS, GCP, Azure).
Proven experience as a Python developer.
Meaningful experience developing AI products with LLMs, including solution architecture, development and prompt engineering.
Attention to detail, ability to multitask, and strong interpersonal skills.
Preferred Qualifications
Specific experience with AWS.
Experience with the Agentic AI architecture, MCP, and A2A.
Experience in enterprise-scale application development in a SaaS environment.