{"id":2086539,"url":"https://alion.io/job/tubescience-senior-ai-engineer-workflow-systems","title":"Senior AI Engineer (Workflows & Systems)","company":{"id":686685,"name":"TubeScience","domain":"tubescience.com","url":"https://alion.io/company/tubescience","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-08T05:49:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"LangGraph","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"n8n","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Zapier","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenTelemetry","optional":true}],"status":"live","first_seen_at":"2026-10-08T10:33:08Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T03:28:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Senior AI Workflow & Systems Engineer\nTubeScience: Los Angeles (preferred) - $110,000-$160,000 base (on-site) · $70,000-$120,000 base (US-based remote)\nTubeScience is Meta's largest creative partner and AppLovin's #1 creative partner, producing 8,000+ original ads every month from a 100,000 sq. ft. Los Angeles studio, backed by a library of 1.6 million+ performance ads and $3B in annual managed ad spend.\nInformation Systems builds the internal software that runs the company. We combine AI, engineering and automation to solve complex operational problems at scale, and our systems are used every day across the business.\nYou'll work directly with the people who use what you build, ship quickly, and own your systems long after launch. You'll be expected to use the latest frontier and open-weight models in every phase of the job, from prototyping to building, testing and deployment.\nThe role\nWe're looking for an engineer who evolved from systems engineering into applied AI: someone who enjoys designing reliable production systems, integrating modern AI capabilities, and owning them in production.\nThis is an internal forward-deployed engineering role. Rather than building products for external customers, you'll work directly with internal stakeholders to find operational bottlenecks, architect AI-powered solutions, deploy them quickly, and keep improving them based on real business needs. You'll report to our VP of Information Systems.\nSuccess means systems that don't just work at launch but keep working reliably after it. You'll own the full lifecycle: architecture, deployment, monitoring, debugging, incident response and continuous improvement.\nThis is not an AI research or model-training role. We apply state-of-the-art models to enterprise problems through software engineering. If your experience is mainly low-code automation such as Zapier, Make or n8n, or mostly prototypes and prompt engineering, this role is probably not the right fit.\nWe weigh directly relevant experience heavily: production systems you have built and operated, and AI you have put into them.\nResponsibilities\nDesign and build production AI applications that automate complex enterprise workflows\nArchitect agent-based systems that coordinate LLMs, APIs, internal services, databases and business logic, with reliable orchestration across tools and enterprise platforms\nDeploy AI systems with observability, monitoring, rollback strategies and operational safeguards\nInvestigate production issues, analyze logs, debug failures and restore reliability when incidents occur\nPartner with Product, Operations, Creative, Engineering and Business teams to find high-impact automation opportunities\nPrototype, validate, deploy and iterate quickly based on production performance and business outcomes, and keep improving existing systems for reliability, speed and impact\nMinimum qualifications\nYou have 3+ years of professional software or systems engineering experience, building and operating production software used by real users or internal business teams.\nYou came to applied AI from systems engineering, for example from platform, backend, enterprise systems or internal developer platform work, or from infrastructure work with significant software development, rather than starting your career in AI.\nYou have strong Python engineering experience.\nYou have integrated modern LLMs into production systems, using tools such as the OpenAI or Anthropic APIs, LangGraph, MCP or similar.\nYou have designed systems that coordinate multiple APIs, databases, services and enterprise applications.\nYou understand distributed systems and production operations: debugging, logging, monitoring, and improving systems after launch.\nYou think in complete systems, with the architectural judgment to design end-to-end solutions.\nYou work independently and are comfortable in a fast-paced startup environment.\nPreferred qualifications\nYou have built production systems at a large technology company.\nYou have built multi-agent systems or used orchestration frameworks such as LangGraph, MCP or Temporal.\nYou have worked with event-driven architectures.\nYou have used Docker and Kubernetes, and AWS, GCP or Azure.\nYou have built CI/CD pipelines and used observability platforms such as Datadog, Grafana or OpenTelemetry.\nYou have built internal developer platforms or enterprise integrations.\nThe problems to solve\nWorkflows that cross many systems. Business processes that span APIs, databases, internal services and enterprise platforms, coordinated by agents that hold up in production.\nAI that keeps working after launch. Monitoring, rollback and safeguards that catch failures before the business does.\nIncidents with a real cost. Production issues in systems people use every day, found and fixed fast.\nSpeed without fragility. From prototype to production quickly, then hardening what works.\n Real operational problems. Bottlenecks found with the teams who live with them, not guessed from a distance.\nHow the hiring works\nThree conversations and a short piece of practical work. Recruiter screen, then the interview with a VP of Information Systems, then a practical assignment with a walkthrough session.\nRoughly 17 business days end to end if we both move quickly. You will get a decision either way at every stage.","description_format":"text","description_chars":5313,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sales & Marketing","Social Media Marketing","Market Research"],"lifecycle":[{"event":"open","at":"2026-10-08T12:26:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":102500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":43,"reasons":["conf:0","win:early"],"computed_at":"2026-10-09T04:22:36Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/tubescience-senior-ai-engineer-workflow-systems","json_url":"https://alion.io/job/tubescience-senior-ai-engineer-workflow-systems.json","meta":{"generated_at":"2026-10-09T04:22:36Z","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","counted_by":"address","units_charged":1,"used_today":4005,"day_limit":5000,"remaining_today":995,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":686685},"rest":"https://alion.io/mcp/rest/get_company?id=686685"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftubescience-senior-ai-engineer-workflow-systems"},{"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%2Ftubescience-senior-ai-engineer-workflow-systems"},{"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%2Ftubescience-senior-ai-engineer-workflow-systems"},{"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/tubescience-senior-ai-engineer-workflow-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftubescience-senior-ai-engineer-workflow-systems"}]}