RocketHuntSmart job search
Aikido Security
Israel6 days ago
Reach out directly about this role
Grade
Middle
Employment
Full-time
English Level
B2 - Upper-Intermediate
By country
AI writes it from your resume. You only have to send it.
Title: AI Engineer Company: Aikido Security Department: Engineering Location: Tel Aviv, Israel Employment: fulltime_permanent Experience: mid_level
🌍 We’re making security suck less for developers. Security tools haven't kept pace with modern software development. They interrupt teams, slow releases, and turn security into a bottleneck. Aikido is changing that. We build developer-first security products that reduce real risk without getting in the way of shipping software. We focus on what matters, automate the rest, and make security a capability, not a blocker. Founded in 2022 by third-time founders, Aikido has $85M in the bank and the runway to build for the long term.
Following our acquisition of Root.io in June 2026, the team formed Agentic Factory: the business unit moving beyond vulnerability detection to automated remediation.
We are looking for an AI Engineer to build the systems that drive this: AI agents that investigate vulnerabilities, generate and validate code fixes, and continuously refine their performance. In this role, you’ll work at the intersection of AI engineering, security automation, and rigorous evaluation to translate cutting-edge models into dependable production tools.
Responsibilities
Build and evolve production AI agent pipelines for CVE research, patch generation, validation, container image remediation, and end-to-end merge requests.
Design the agent capabilities behind those workflows: prompts, tools, model selection, context, guardrails, and integrations.
Build the feedback loops that make our systems better: tracing production runs, creating datasets, defining evals and scorers, and using results to guide iteration.
Analyze real-world performance to answer the questions that matter: Did this change improve patch success, quality, latency, or cost? Can we prove it?
Operate what you build in production across Kubernetes, Argo Workflows, AWS, and GitOps.
Partner closely with Product and engineering to focus on the customer problems with the highest security impact—and ship quickly.
Hands-on experience building with LLMs, agentic architectures, and AI workflows—such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or equivalent.
Strong experience using coding agents such as Claude Code, Codex, or Cursor as part of your day-to-day engineering workflow.
A solid grasp of the mechanics of data science and applied AI: evaluation design, experimental rigor, noisy metrics, statistical reasoning, feedback loops, and evidence-based decision-making.
The judgment to distinguish an impressive demo from a system that reliably works in production.
Strong software engineering skills and an experiment-driven mindset: form a hypothesis, build, measure, learn, and iterate.
Comfort working independently in a fast-moving environment with high ownership and little unnecessary process.
Clear communication and good product instincts.
Nice to have
What you can expect
