{"id":2749114,"url":"https://alion.io/job/hire-hangar-llm-infrastructure-engineer","title":"LLM Infrastructure Engineer","company":{"id":5719,"name":"Hire Hangar","domain":"hirehangar.com","url":"https://alion.io/company/hirehangar","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":92,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0.2,"time_to_fill_p50_days":14,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"UTC-8 – UTC-5","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["Buenos Aires, Argentina","Guayaquil, Ecuador","Santa Cruz, Bolivia","Cairo, Egypt","Johannesburg, South Africa","Columbia, United States","Santiago, Chile","Montevideo, Uruguay","Lima, Peru","Santo Domingo, Dominican Republic","Managua, Nicaragua","Panama","Tegucigalpa, Honduras","Cape Town, South Africa","Mexico City, Mexico"],"countries":["AR","EC","BO","EG","ZA","US","CL","UY","PE","DO","NI","PA","HN","MX"],"hiring_countries":["US","GB","AR","EG","MX","ZA","BO","CL","DO","EC","HN","NI","PA","PY","PE","UY"],"hiring_countries_total":16,"salary":{"min":2500,"max":4000,"currency":"USD","period":"month","gross":null,"usd_annual":48000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Google Workspace","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"CloudFormation","optional":true},{"name":"DeepSpeed","optional":true},{"name":"PyTorch","optional":true},{"name":"Ray","optional":true},{"name":"TensorRT","optional":true},{"name":"TensorRT-LLM","optional":true},{"name":"Terraform","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-16T22:42:21Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T13:17:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join Hire Hangar and work with fast-growing global companies while building a long-term career.\nJob Title: LLM Infrastructure Engineer\nLocation | Remote\nTime Zone | US Time Zones (EST-PST)\nRole Overview:\nWe are seeking an LLM Infrastructure Engineer with hands-on experience building the systems that power large language models. This is a full-time, hands-on engineering role focused on designing, deploying, and scaling the infrastructure behind model training, fine-tuning, and inference. You will work closely with machine learning and engineering teams to make sure models run reliably, efficiently, and cost-effectively in production. The ideal candidate understands both the demands of LLM workloads and the cloud systems needed to support them at scale.\nKey Responsibilities:\n- Design, build, and maintain infrastructure for training, fine-tuning, and serving large language models\n- Deploy and scale LLM inference services with a focus on latency, throughput, and reliability\n- Manage GPU compute resources and optimize workload scheduling and utilization\n- Build and maintain data pipelines that support model training and evaluation\n- Implement monitoring, logging, and alerting for model performance and system health\n- Optimize infrastructure costs while maintaining performance and availability\n- Automate deployment workflows using infrastructure-as-code and CI/CD practices\n- Collaborate with ML engineers and researchers to move models from experimentation into production\n- Proactively identify bottlenecks, investigate root causes, and resolve infrastructure issues\nRequired Qualifications:\n- Proven experience building large language model infrastructure (non-negotiable)\n- Hands-on experience deploying and serving machine learning models in production environments\n- Strong programming skills in Python, with experience in systems or backend development\n- Experience with containerization and orchestration tools such as Docker and Kubernetes\n- Solid understanding of distributed systems, GPU computing, and performance optimization\n- Strong written and spoken English with a clear, professional communication style\n- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.\nPreferred Qualifications:\n- Strong AWS experience, including services such as EC2, EKS, S3, and SageMaker\n- Prior experience working at a large company or within enterprise-scale engineering environments\n- Familiarity with LLM serving frameworks such as vLLM, TensorRT-LLM, or Triton Inference Server\n- Experience with infrastructure-as-code tools such as Terraform or CloudFormation\n- Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, or Ray\nTools & Technology:\n- AWS\n- Python\n- Docker and Kubernetes\n- Terraform or CloudFormation\n- PyTorch and LLM serving frameworks\n- CI/CD and monitoring tools\n- Slack, Zoom, and other remote collaboration tools\nPlease NOTE:\nIt is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps-the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.\nWe connect top talent with vetted employers, competitive pay, and real growth opportunities.","description_format":"text","description_chars":3566,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Argentina","iso":"AR","kind":"country"},{"name":"Colombia","iso":null,"kind":"country"},{"name":"Egypt","iso":"EG","kind":"country"},{"name":"Mexico","iso":"MX","kind":"country"},{"name":"South Africa","iso":"ZA","kind":"country"},{"name":"Bolivia","iso":"BO","kind":"country"},{"name":"Chile","iso":"CL","kind":"country"},{"name":"Dominican Republic","iso":"DO","kind":"country"},{"name":"Ecuador","iso":"EC","kind":"country"},{"name":"Honduras","iso":"HN","kind":"country"},{"name":"Nicaragua","iso":"NI","kind":"country"},{"name":"Panama","iso":"PA","kind":"country"},{"name":"Paraguay","iso":"PY","kind":"country"},{"name":"Peru","iso":"PE","kind":"country"},{"name":"Uruguay","iso":"UY","kind":"country"},{"name":"Santiago","iso":null,"kind":"city"},{"name":"Mexico City","iso":null,"kind":"city"},{"name":"Buenos Aires","iso":null,"kind":"city"},{"name":"Lima","iso":null,"kind":"city"},{"name":"Cairo","iso":null,"kind":"city"},{"name":"Johannesburg","iso":null,"kind":"city"},{"name":"Columbia","iso":null,"kind":"city"},{"name":"Santa Cruz","iso":null,"kind":"city"},{"name":"Guayaquil","iso":null,"kind":"city"},{"name":"Montevideo","iso":null,"kind":"city"},{"name":"Santo Domingo","iso":null,"kind":"city"},{"name":"Tegucigalpa","iso":null,"kind":"city"},{"name":"Managua","iso":null,"kind":"city"},{"name":"Panama","iso":null,"kind":"city"},{"name":"Cape Town","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Freelance & Talent Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-16T23:28:26Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:2","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":48000,"is_top_pay":false},"html_url":"https://alion.io/job/hire-hangar-llm-infrastructure-engineer","json_url":"https://alion.io/job/hire-hangar-llm-infrastructure-engineer.json","meta":{"generated_at":"2026-10-17T15:32:59Z","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":21075,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":5719},"rest":"https://alion.io/mcp/rest/get_company?id=5719"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhire-hangar-llm-infrastructure-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%2Fhire-hangar-llm-infrastructure-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%2Fhire-hangar-llm-infrastructure-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/hire-hangar-llm-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhire-hangar-llm-infrastructure-engineer"}]}