{"id":4334150,"url":"https://alion.io/job/teamstation-ai-systems-engineer-multi-agent-orchestration","title":"AI Systems Engineer (Multi-Agent Orchestration)","company":{"id":2889395,"name":"TeamStation","domain":"teamstation.dev","url":"https://alion.io/company/teamstation","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CU","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN"],"hiring_countries_total":50,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"LLM","optional":true},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-04-06T00:00:00Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T10:08:53Z","board_verified":true,"closed_at":null,"days_open":223,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":223},"description":"At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges.\nOur work is about more than just AI-it’s about building the future through collaboration and innovation.\nWe believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.\nJoin the Mission at TeamStation AI!\nWhere do we come from?\nWe are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.\nAI Systems Engineer (Multi-Agent Orchestration)\nLocation: Remote - LATAM\nType: Full-time\nReports to: CTO / Head of Engineering\nRole Overview\nWe are seeking an AI Systems Engineer to design, orchestrate, and scale multi-agent development workflows using modern AI coding runtimes and orchestration platforms such as Gastown.\nThis role focuses on coordinating autonomous coding agents, maintaining persistent workflow state, and building reliable, reproducible engineering pipelines. The ideal candidate thinks in systems, automates relentlessly, and thrives at the intersection of AI-assisted development, DevOps, and distributed systems.\nYou will transform AI coding tools from isolated assistants into a coordinated engineering workforce.\nWhat You Will Do\nMulti-Agent Workflow Orchestration\nDesign and manage multi-agent development workflows\nCoordinate agent task distribution, handoffs, and lifecycle management\nMaintain persistent work state and recovery workflows\nAI Development Pipeline Engineering\nIntegrate AI runtimes (Claude Code, Codex, Cursor, etc.) into structured workflows\nBuild reproducible task pipelines using git-backed persistence and automation hooks\nMonitor agent performance, throughput, and reliability\nSystems & Automation\nImplement workflow automation and fault-tolerant execution patterns\nDesign task queues, coordination logic, and recovery strategies\nOptimize developer velocity through orchestration and tooling\nDeveloper Experience & Tooling\nCreate tooling that improves visibility into agent work and system state\nDocument workflows and operational patterns\nImprove reliability, observability, and auditability of AI-assisted development\nRequired Qualifications\n5+ years software engineering experience\nStrong Git and CLI workflow proficiency\nExperience with automation, CI/CD, or DevOps tooling\nUnderstanding of distributed systems or task orchestration concepts\nExperience using AI coding tools in real development workflows\nStrong systems thinking and debugging skills\nPreferred Experience\nExperience with multi-agent orchestration tools (Gastown or similar)\nBackground in DevOps, platform engineering, or SRE\nExperience designing developer productivity tooling\nFamiliarity with tmux, shell scripting, and automation pipelines\nExperience integrating LLM APIs or AI runtimes into workflows\nWhat Success Looks Like\nAI agents execute work reliably and reproducibly\nDevelopment throughput increases without coordination chaos\nWork state persists across sessions and failures\nEngineering workflows become observable, auditable, and scalable\nHuman engineers focus on architecture and decisions, not task micromanagement\nWho Thrives in This Role\nYou enjoy:\ndesigning systems rather than manual processes\nautomating repetitive coordination work\nturning chaos into structured pipelines\nbuilding tools that multiply engineering output\nYou think like a systems engineer and operate like a builder.\nWhy This Role Matters\nSoftware engineering is evolving from writing code to orchestrating intelligent systems that produce it. 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