{"id":2664021,"url":"https://alion.io/job/global-placement-firm-agent-platform-engineer","title":"Agent Platform Engineer","company":{"id":4423659,"name":"Global Placement Firm","domain":"globalplacementfirm.com","url":"https://alion.io/company/globalplacementfirm","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"DevOps","role_family":"DevOps","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Claude Code","optional":true},{"name":"Clean Architecture","optional":true},{"name":"Computer Use","optional":true},{"name":"Cursor","optional":true},{"name":"Docker","optional":true},{"name":"Function Calling","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Playwright","optional":true},{"name":"Prisma","optional":true},{"name":"Pulumi","optional":true}],"status":"live","first_seen_at":"2026-10-16T01:48:56Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T04:35:37Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Agent Platform Engineer\nNew York City, NY | On-Site\n$150,000-$230,000 Base Salary + Competitive Equity | Full-Time\nGlobal Placement Firm is conducting a confidential search for a Senior Software Engineer specializing in AI Agent Infrastructure and Backend Systems to join a rapidly growing healthcare AI technology startup in New York City.\nThis is a high-impact engineering opportunity for an experienced software engineer with deep expertise in TypeScript backend development, production-grade infrastructure, distributed systems, and AI agent architecture.\nThe ideal candidate has 4+ years of professional software engineering experience and enjoys solving complex infrastructure challenges, building reliable and scalable systems, and developing the foundational technology that enables AI agents to automate real-world healthcare workflows.\nPosition Overview\nAs a Senior Software Engineer - AI Agent Infrastructure, you will play a critical role in designing, building, and scaling the backend systems that power autonomous AI agents operating across complex healthcare environments.\nThese agents interact with electronic medical records (EMRs), healthcare portals, browser applications, desktop systems, documents, and other fragmented operational tools.\nYou will build the infrastructure that allows AI agents to operate reliably, manage state, recover from failures, execute workflows, and perform complex tasks across multiple systems.\nThis position offers significant ownership over agent architecture, backend infrastructure, workflow orchestration, evaluation systems, and platform reliability.\nYou'll work closely with engineering leadership and forward-deployed engineers to transform real-world implementation challenges into reusable, scalable platform capabilities.\nKey Responsibilities\nAI Agent Infrastructure & Architecture\nDesign, build, and maintain the core infrastructure powering autonomous AI agents across healthcare customer workflows.\nDevelop reliable systems supporting browser automation, desktop automation, tool execution, state management, and retry logic.\nImprove agent architecture through experimentation with planning, execution, memory, validation, and recovery mechanisms.\nBuild reusable components that enable AI agents to interact with complex healthcare software systems.\nDevelop scalable infrastructure supporting production AI agent deployments.\nImplement fault-tolerant systems that maintain reliability across long-running, multi-step agent workflows.\nBackend Engineering & Distributed Systems\nOwn and develop backend services across a TypeScript and Node.js monorepo.\nDesign and maintain APIs, domain services, background jobs, and event-driven systems.\nBuild durable workflow orchestration systems using technologies such as Temporal.\nDevelop scalable backend architectures capable of supporting complex asynchronous operations.\nImprove system reliability, fault tolerance, scalability, and performance.\nDesign clean abstractions and reusable engineering primitives to accelerate platform development.\nAgent Evaluation, Monitoring & Observability\nDesign and implement evaluation frameworks to measure AI agent performance and reliability.\nBuild observability tools to monitor agent execution, diagnose failures, and investigate agent decisions.\nDevelop systems to identify performance regressions and measure improvements over time.\nCreate debugging tools that help engineers understand agent behavior across complex workflows.\nImprove testing, validation, and monitoring processes for production AI systems.\nHealthcare Workflow Automation\nBuild infrastructure enabling AI agents to interact with fragmented healthcare technologies, including:Electronic Medical Record systems (EMRs)\nHealthcare portals\nBrowser-based applications\nDesktop applications\nFax-based workflows\nPDFs and document-processing systems\n\nDevelop reliable automation capabilities for complex administrative and operational workflows.\nImplement safeguards, validation processes, and recovery mechanisms appropriate for sensitive healthcare environments.\nPartner with forward-deployed engineers to identify recurring deployment challenges and develop scalable platform solutions.\nEngineering Collaboration & Ownership\nWork closely with engineering and product teams to define infrastructure priorities and technical architecture.\nOwn technical projects from initial design through implementation, deployment, and ongoing improvement.\nContribute to engineering standards, architecture decisions, and platform development practices.\nParticipate in rapid experimentation and iterative development cycles.\nHelp establish the technical foundations required to scale an emerging healthcare AI platform.\nRequired Qualifications\n4+ years of professional software engineering experience, with a strong emphasis on backend engineering and infrastructure development.\nDeep proficiency in TypeScript and Node.js.\nDemonstrated experience designing, building, and maintaining production-grade backend systems.\nStrong understanding of distributed systems, asynchronous processing, and scalable infrastructure.\nExperience developing APIs, background jobs, domain services, and event-driven applications.\nExperience working with relational databases such as PostgreSQL.\nStrong knowledge of system reliability, fault tolerance, observability, and performance optimization.\nExperience designing clean software abstractions and reusable platform components.\nFamiliarity with AI agents, LLM-based applications, or modern AI infrastructure.\nExperience working in fast-moving engineering environments with significant individual ownership.\nStrong debugging, problem-solving, and technical communication skills.\nAbility to work collaboratively with engineers across infrastructure, product, and customer-facing teams.\nPreferred Qualifications\nHands-on experience developing computer-use agents or autonomous AI systems.\nExperience with browser automation frameworks such as Playwright.\nExperience with workflow orchestration technologies such as Temporal.\nFamiliarity with Prisma ORM and modern TypeScript backend architectures.\nExperience with Google Cloud Platform (GCP).\nExperience with Docker, Pulumi, and infrastructure-as-code technologies.\nExperience designing evaluation and observability systems for AI agents.\nExperience integrating LLMs into production applications.\nFamiliarity with agent planning, memory, tool use, execution, and recovery systems.\nExperience building automation across multiple applications or external systems.\nExperience working at an early-stage or rapidly scaling technology startup.\nHealthcare technology or workflow automation experience.\nFamiliarity with AI-assisted engineering tools such as Cursor and Claude Code.\nTechnology Stack\nThe engineering environment includes:\nCategory, Technologies, Backend Development, TypeScript, Node.js, Database & ORM PostgreSQL, Prisma Workflow Orchestration, Temporal, Browser Automation, Playwright Cloud Infrastructure, Google Cloud Platform (GCP)Containers & Infrastructure, Docker, PulumiAI Technologies, LLMs, AI Agents, Computer-Use Agents Developer, Tools Cursor, Claude Code, Architecture Distributed Systems, APIs, Event-Driven Systems\nIdeal Candidate Profile\nThe ideal candidate is a backend-focused systems engineer who is excited about building the infrastructure behind the next generation of autonomous AI agents.\nYou should be comfortable working on technically complex problems where reliability, scalability, and thoughtful architecture are essential.\nThis opportunity is particularly well suited for an engineer who enjoys building foundational infrastructure rather than exclusively developing user-facing applications.\nWe're Looking For Someone Who:\nHas strong technical depth in TypeScript backend engineering.\nUnderstands how to design and operate reliable production systems.\nEnjoys working at the intersection of AI agents, infrastructure, and systems engineering.\nCan independently own complex technical projects.\nHas strong architectural judgment and attention to system reliability.\nEnjoys solving difficult problems involving state management, distributed execution, and fault recovery.\nIs comfortable experimenting with emerging AI technologies.\nCan turn complex engineering challenges into reusable platform capabilities.\nWorks effectively in a fast-paced startup environment.\nValues clean architecture, maintainable code, and production reliability.\nCollaborates effectively with engineers and technical stakeholders.\nWants meaningful influence over the development of an emerging AI platform.\nWork Environment\nThis is an on-site engineering position in New York City within a fast-moving healthcare AI startup.\nThe company emphasizes close technical collaboration, rapid iteration, and strong individual ownership.\nEngineers work directly on foundational platform capabilities and are expected to contribute meaningfully to architectural decisions and product development.\nThe successful candidate should be comfortable working in an environment where technical challenges evolve quickly and engineers are empowered to develop practical, scalable solutions.\nCompensation & Position Details\nBase Salary: $150,000-$230,000 annually\nEquity: Competitive equity package\nEmployment Type: Full-Time\nLocation: New York City, NY\nWork Arrangement: On-Site\nOpen Positions: 1-2\nVisa Sponsorship: Open to eligible visa transfers, including OPT and H-1B transfers.\nWhy Join\nThis is an opportunity to work on foundational technology at the intersection of artificial intelligence, autonomous agents, healthcare automation, and distributed systems.\nRather than simply integrating existing AI APIs into conventional applications, you will help build the infrastructure that allows intelligent agents to execute complex workflows reliably in real-world environments.\nKey advantages include:\nCompetitive Compensation: $150,000-$230,000 base salary plus competitive equity.\nFoundational Engineering Ownership: Build and shape the infrastructure powering autonomous AI agents.\nAdvanced AI Technology: Work directly with LLMs, computer-use agents, browser automation, and workflow orchestration.\nComplex Technical Challenges: Solve problems involving state management, reliability, fault recovery, and distributed execution.\nHealthcare Impact: Develop technology designed to improve complex administrative and operational healthcare workflows.\nModern Technology Stack: Work with TypeScript, Temporal, Playwright, PostgreSQL, GCP, and modern AI development tools.\nHigh-Impact Collaboration: Work closely with engineers solving real-world deployment challenges.\nProfessional Growth: Gain significant experience developing production AI infrastructure in an emerging technology category.\nStartup Ownership: Influence platform architecture, engineering practices, and long-term technical direction.\nCandidate Considerations\nThis position requires a strong backend and infrastructure engineering foundation.\nCandidates whose experience is primarily limited to frontend development, basic application integrations, or experimental AI prototypes without substantial production engineering experience may not be the best fit.\nThe company is particularly interested in engineers who have demonstrated the ability to build reliable, scalable, production-grade systems and who are genuinely interested in advancing the capabilities of autonomous AI agents.\nCandidates must also be comfortable working on-site in New York City and collaborating closely with a rapidly evolving engineering team.\nConfidential Search\nThis position is being presented by Global Placement Firm on behalf of a confidential healthcare AI technology client.\nAdditional information regarding the company, engineering team, and opportunity will be shared with qualified candidates during the recruitment process.","description_format":"text","description_chars":11851,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-16T01:48:56Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":5,"expected_fill_days":27,"reasons":["conf:3","agency","velocity","win:early","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/global-placement-firm-agent-platform-engineer","json_url":"https://alion.io/job/global-placement-firm-agent-platform-engineer.json","meta":{"generated_at":"2026-10-22T05:57:13Z","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":572,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":4423659},"rest":"https://alion.io/mcp/rest/get_company?id=4423659"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglobal-placement-firm-agent-platform-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%2Fglobal-placement-firm-agent-platform-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%2Fglobal-placement-firm-agent-platform-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/global-placement-firm-agent-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglobal-placement-firm-agent-platform-engineer"}]}