{"id":193404,"url":"https://alion.io/job/aikido-security-ai-engineer","title":"AI Engineer","company":{"id":14042,"name":"Aikido Security","domain":"aikido.dev","url":"https://alion.io/company/aikido","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":77,"open_postings":26,"ghost_share":0,"stale_share":0.923,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Argo Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"CVE","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Go","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-02T11:37:32Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-23T11:07:25Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":50},"description":"We’re making security suck less for developers.\nSecurity 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.\nFounded in 2022 by third-time founders, Aikido has $85M in the bank and the runway to build for the long term.\nFollowing our acquisition of Root.io in June 2026, the team formed Agentic Factory: the business unit moving beyond vulnerability detection to automated remediation.\nWe 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.\nResponsibilities\nBuild and evolve production AI agent pipelines for CVE research, patch generation, validation, container image remediation, and end-to-end merge requests.\n\nDesign the agent capabilities behind those workflows: prompts, tools, model selection, context, guardrails, and integrations.\n\nBuild the feedback loops that make our systems better: tracing production runs, creating datasets, defining evals and scorers, and using results to guide iteration.\n\nAnalyze real-world performance to answer the questions that matter: Did this change improve patch success, quality, latency, or cost? Can we prove it?\n\nOperate what you build in production across Kubernetes, Argo Workflows, AWS, and GitOps.\n\nPartner closely with Product and engineering to focus on the customer problems with the highest security impact-and ship quickly.\n\nRequirements\nHands-on experience building with LLMs, agentic architectures, and AI workflows-such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, or equivalent.\n\nStrong experience using coding agents such as **Claude Code, Codex, or Cursor** as part of your day-to-day engineering workflow.\n\nA 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.\n\nThe judgment to distinguish an impressive demo from a system that reliably works in production.\n\nStrong software engineering skills and an experiment-driven mindset: form a hypothesis, build, measure, learn, and iterate.\n\nComfort working independently in a fast-moving environment with high ownership and little unnecessary process.\n\nClear communication and good product instincts.\n\nNice to have\nExperience in cybersecurity: CVEs, containers, software supply chain security, or pentesting.\n\nExperience working with open-weight models, including model selection, serving, inference optimization, or fine-tuning.\n\nFamiliarity with Langfuse or similar observability and evaluation platforms.\n\nExperience with Go or TypeScript.\n\nWhat you can expect\nShort decision lines and meaningful ownership from day one.\n\nThe freedom to shape important projects and ship quickly.\n\nTop-tier compensation and equity.\n\nHigh trust, strong values, and no corporate theatre.\n\nFlexible working hours and an open, informal culture.\n\nOur stack: Python, LangGraph, Claude Agent SDK, Langfuse, Kubernetes, Argo Workflows, AWS, GitOps, and 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