Applied AI Engineer, Founding Team

Applied AI Engineer, Founding Team

Tel Aviv (In-office)

Summary:

Early-stage company (seed, led by Greylock) is building a new class of AI system designed to execute complex, real-world workflows end to end. The product moves beyond assistive AI and focuses on systems that can reliably interpret context, make decisions, and take actions across fragmented environments.

These workflows are high-stakes, multi-step, and operate across messy data and existing systems. Success requires combining strong reasoning capabilities with robust execution, reliability, and clear auditability in production settings.

The team is focused on turning recent advances in foundation models into production-grade systems that can operate in real environments, not just controlled demos.

What You’ll Do

Design and ship agentic AI systems that interpret intent and execute multi-step workflows across real-world environments

Build planning, tool-use, memory, and recovery mechanisms for agents operating in complex, stateful systems

Develop execution frameworks that handle ambiguity, partial failures, and changing context

Create evaluation systems for agent performance, including success metrics, regression testing, and feedback loops

Improve system reliability through validation layers, guardrails, and well-defined fallback behavior

Partner closely with engineering and product to bring research ideas into production

Work with early users to translate real-world workflows into automation coverage

Where You’ll Work in the Stack

Agent layer: planning, reasoning, and multi-step execution

Data layer: integrating and structuring fragmented data into usable context

System layer: orchestration, reliability, and real-world action execution

Evaluation layer: measurement, monitoring, and continuous improvement

What We’re Looking For

Experience building agentic AI systems that plan, take actions, and operate across multi-step workflows

Hands-on work with LLM-based systems beyond demo-level reliability

Strong understanding of evaluation, including how to measure correctness and improve systems over time

Solid applied ML fundamentals and ability to move between research and implementation

Strong engineering skills (Python required; systems experience is a plus)

Comfort working with ambiguous problems and messy real-world data

Good judgment around correctness, reliability, and system behavior in production

Signals We’re Especially Excited About

You’ve built systems that take real actions, not just generate outputs

You’ve worked on long-running, stateful workflows with failure handling and recovery

You have strong opinions on architecture and evaluation for agentic systems

You’ve shipped systems in environments where reliability and correctness matter

You enjoy turning complex workflows into simple, automated systems

Why This Role

Tier-1 funded startup

Frontier problem at the intersection of agentic AI and real-world system execution

Early team with significant ownership and influence on product and architecture

Tight feedback loops with early users and real-world deployment

In-office culture in Tel Aviv with a focus on speed, iteration, and collaboration

About Greylock

Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential — backing category-defining companies such as Figma, Anthropic, Ramp, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase.

About the Greylock Recruiting Team

As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

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