Senior Applied AI Engineer
HybridTel Aviv, Tel Aviv, Israel
Job Summary
Embed with GTM and G&A teams to identify, scope, and prioritize high-impact AI opportunities, acting as both product manager and engineer for these initiatives. Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement, while serving as the primary technical advisor for function leaders. Deliver hands-on AI enablement and training to non-R&D teams, building their ability to use AI tools independently. Collaborate on shared infrastructure like MCP servers and RAG systems, then measure and report on adoption impact to guide prioritization. This role offers unusual autonomy with executive sponsorship, requiring 7+ years of engineering experience and strong communication skills to drive end-to-end AI transformation across the organization.
Required Qualifications
- 7+ years of software engineering experience
- strong track record of shipping production systems
- Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation
- Exceptional communication skills
- Strong product instincts and critical thinking
- Comfortable with ambiguity and self-direction
- Passionate about LLMs, prompt engineering, and AI application patterns (agentic and autonomous workflows, RAG, agents, tool use)
- Solid understanding of GenAI, LLMs and foundation models
- Solid familiarity with AI coding tools like Claude Code, Github Copilot, Cursor, or similar
- Hands-on experience building internal/external AI-driven workflows, agentic frameworks, evals, RAGs, MCPs, skills, etc.
- Fluent in written and spoken English
Desired Qualifications
- Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to
- Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering
- Are familiar with GTM/G&A tooling ecosystems (CRM, BI platforms, marketing automation) and understand how AI can augment them
- Have experience designing and delivering technical training or enablement programs
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