About the role
structured by ORISolutionsParameter PlatformA red team that never stops.Sign up/ pentestingReal vulnerabilities, found and proven./ Cloud securityCloud misconfigs, caught continuously./ Supply chainOnly the reachable dependency risks./ sentinelVulnerabilities caught before they merge.Resources/ BlogResearch, writeups, and product…
What you will do
- Design and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chains
- Build the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generation
- Own the eval loop. We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go up
- Reduce false positives, which is the single hardest problem in this space and the thing customers care most about
- Manage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and Bedrock
What they are looking for
- 3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos)
- Strong TypeScript. Comfortable with async, distributed systems, and long-running workflow orchestration
- Real intuition for context engineering, tool design, and why agents fail in the wild
- You measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behavior
Nice to have
- security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to break
Before you apply
- This role is onsite in San Francisco.
- You must be authorized to work in the US; we are not able to sponsor visas at this time.
- Paid work trial or take-home, scoped to roughly one day
Full posting text
SolutionsParameter PlatformA red team that never stops.Sign up/ pentestingReal vulnerabilities, found and proven./ Cloud securityCloud misconfigs, caught continuously./ Supply chainOnly the reachable dependency risks./ sentinelVulnerabilities caught before they merge.Resources/ BlogResearch, writeups, and product news./ VideosShort explainers on security fundamentals./ SecurityHow we secure the agents and your data.
/ AboutThe team behind Parameter./ CareersOpen roles. Come build with us.BlogSign inBook a call[ engineering ]Member of Technical Staff, AI EngineerFull time • San Francisco, CA • $180K – $240K • 2 openingsApplyParameter builds AI agents that do offensive security work. Our agents run autonomous penetration tests against production applications and cloud environments, finding IDORs, broken access control, XSS, and infrastructure misconfigurations that scanners miss and that human pentest firms only look for once or twice a year.We are not a theoretical security company.
Our team has responsibly disclosed real, high-severity vulnerabilities to well-known technology companies, and our findings are the front door to most of our customer relationships.You'll build the agent systems that do the actual hacking. That means designing the reasoning loops, tool interfaces, and memory architecture that let an LLM behave like a competent offensive security researcher rather than a fuzzer with good manners.The title points at where you'll spend most of your time.
Expect the rest of the week to go wherever the work is: agent systems one day, the product the next, a customer call or a report that has to go out after that. We are small enough that everyone works across every product, and we hire people who want that.What you'll doDesign and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chainsBuild the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generationOwn the eval loop.
We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go upReduce false positives, which is the single hardest problem in this space and the thing customers care most aboutManage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and BedrockWhat we're looking for3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos)Strong TypeScript.
Comfortable with async, distributed systems, and long-running workflow orchestrationReal intuition for context engineering, tool design, and why agents fail in the wildYou measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behaviorBonus: security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to breakInterview processIntro call with a founder (30 minutes)Technical deep dive on your past work (60 minutes)Paid work trial or take-home, scoped to roughly one dayOnsite in San Francisco with the teamReferences and offerStackTypeScript, LangGraph, Temporal, GCP, AWS Bedrock, Anthropic API, Langfuse, Braintrust, GitHub Actions, Linear, GraphiteWe move quickly.
Our target is an offer within two weeks of first contact. Small team, high trust, extremely fast. If you want to see your work in front of customers within days, this is that.This role is onsite in San Francisco. You must be authorized to work in the US; we are not able to sponsor visas at this time.Apply[ SOLUTIONS ]PentestingCloud securitySupply chainSentinel[ company ]AboutCareersBlogVideosEvents[ resources ]PricingSecurityFree toolsSupportTerms of servicePrivacy policyCookie preferences© 2026 Anytool, Inc.[
SOLUTIONS ]PentestingCloud securitySupply chainSentinel[ company ]AboutCareersBlogVideosEvents[ resources ]PricingSecurityFree toolsSupport© 2026 Anytool, Inc.Terms of servicePrivacy policyCookie preferences