{"id":3546641,"url":"https://alion.io/job/menlo-security-ai-systems-engineer","title":"AI Systems Engineer","company":{"id":7656,"name":"Menlo Security","domain":"menlosecurity.com","url":"https://alion.io/company/menlo-security-inc","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bracknell, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLMOps","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"vLLM","optional":false},{"name":"DLP","optional":true},{"name":"Linux","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-30T16:35:47Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T00:52:16Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors.\nWe are seeking an AI Systems Infrastructure Engineer (IC4) to lead the platform and backend architecture powering our real-time security detection services. In this role, you will build and scale low-latency serving infrastructure for Small Language Models (SLM), Prompt Injection (PI) engines, and Content / Intent Classification platforms running across GPU and cloud clusters. We are looking for a strong systems engineer who understands production backend services, microservices, container management, and high-throughput inference optimization. While you will work closely with ML researchers, your primary focus will be engineering robust backend services, GPU replica scaling, guardrails, and automated evaluation infrastructure.\nOutcomes & KPIs Key Outcome(s) Owned:\nSub-hundred-millisecond SLM and detection service execution speeds across high-volume tenant workloads.\n\nHighly resilient, auto-scaling GPU inference cluster infrastructure with automated CI/CD and regression gating.\n\nSuccess Metrics / KPIs:\nP95 and P99 detection latency for prompt injection (PI) and classification services.\n\nGPU pod readiness time and cluster auto-scaling efficiency under burst traffic.\n\nService availability and rate-limiting guardrail enforcement per tenant.\n\nAutomated MLOps/LLMops pipeline throughput and deployment turnaround time.\n\nWhat You'll Do\nArchitect, build, and optimize production serving pipelines for Small Language Models (SLMs) and traditional ML models using model quantization, batching, and GPU acceleration.\n\nOwn and scale backend microservices (e.g., sds-service-prompt-injection, sds-service-ddr) delivering real-time threat detection.\n\nBuild consumption-based monitoring, tenant rate-limiting, and runtime guardrail infrastructure.\n\nManage and optimize GPU cluster replicas (Kubernetes / Pod infrastructure) to minimize cold-start times and manage infrastructure costs.\n\nBuild continuous evaluation, automated retraining pipelines, model CI/CD, and automated regression gates to test model detection quality against live benchmarks.\n\nRefactor legacy service boundaries, service-to-service auth flows, and backend database configurations.\n\nRequirements:\n5+ years of software engineering experience building distributed backend systems or high-throughput microservices.\n\nProven track record in model serving and inference optimization (e.g., TensorRT, vLLM, ONNX Runtime, Triton Inference Server).\n\nStrong programming experience in Python, Go, or C++.\n\nHands-on expertise with Kubernetes, container orchestration, GPU scheduling, and infrastructure auto-scaling.\n\nSolid understanding of CI/CD pipelines, MLOps/LLMops principles, and cloud infrastructure (AWS/GCP).\n\nPreferred / Nice to Have:\nExperience building consumption-based rate limiting or multi-tenant guardrail architectures.\n\nFamiliarity with database refactoring, auth protocols, and backend technical debt remediation.\n\nBackground in cybersecurity, threat detection engines, or DLP/PII filtering platforms.\n\nExperience benchmarking runtime vs. accuracy trade-offs between local SLMs and cloud LLMs (e.g., Vertex AI).\n\nExperience with AWS, GCP, Terraform, Kubernetes, and Linux.\n\nFollow us on LinkedIn!\nWhy Menlo?\nAt Menlo, we don't settle for the status quo - in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled. We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it - you'll thrive here.\nAll qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.\n TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security’s policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.","description_format":"text","description_chars":5258,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Financial Services","Web Security & DDoS Protection"],"lifecycle":[{"event":"open","at":"2026-10-30T21:01:31Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; Global Business Mobility: Senior or Specialist Worker","cap_exempt":false,"checked_at":"2026-11-03T08:26:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":46,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/menlo-security-ai-systems-engineer","json_url":"https://alion.io/job/menlo-security-ai-systems-engineer.json","meta":{"generated_at":"2026-11-04T01:25:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2164,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7656},"rest":"https://alion.io/mcp/rest/get_company?id=7656"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmenlo-security-ai-systems-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmenlo-security-ai-systems-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmenlo-security-ai-systems-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/menlo-security-ai-systems-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmenlo-security-ai-systems-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3546641}},{"tool":"search_jobs","arguments":{"company":"menlosecurity.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3546641},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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