{"id":2074556,"url":"https://alion.io/job/bright-vision-technologies-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":449700,"name":"Bright Vision Technologies","domain":"bvteck.com","url":"https://alion.io/company/bright-vision-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":130000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Bicep","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Docker","optional":true},{"name":"FinOps","optional":true},{"name":"GCP","optional":true},{"name":"GitOps","optional":true},{"name":"Istio","optional":true},{"name":"KV Cache","optional":true},{"name":"Linkerd","optional":true},{"name":"Machine Learning","optional":true},{"name":"Quantization","optional":true},{"name":"Ray","optional":true},{"name":"Ray Serve","optional":true},{"name":"Service Mesh","optional":true},{"name":"Speculative Decoding","optional":true},{"name":"TensorRT","optional":true},{"name":"Terraform","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-10-08T07:59:17Z","employer_posted_date":null,"last_verified_at":"2026-10-08T07:59:17Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\n\nJob Title: AI Platform Engineer\nLocation: 100% Remote (Continental United States)\nPosition Type: Full-time, Direct W2\nSalary Range: $100,000 – $150,000 per annum\nExperience: 6+ years\n\nSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.\nJob Summary:\nWe are seeking an AI Platform Engineer to design, build, and operate scalable AI inference platforms for production ML workloads. The ideal candidate will have expertise in distributed systems, LLM serving, GPU optimization, autoscaling, and cloud-native infrastructure, with a strong focus on performance, reliability, and observability.\nKey Responsibilities:\nDesign and maintain scalable AI model serving platforms.\n\nOptimize inference performance, GPU utilization, and request routing.\n\nBuild autoscaling, deployment, and monitoring solutions.\n\nImplement caching, security, and high-availability strategies.\n\nCollaborate with ML teams to deploy and support production AI models.\n\nRequired Qualifications:\n6+ years of experience in distributed systems, infrastructure, or ML platform engineering.\n\nStrong proficiency in Python and Go, Rust, or C++.\n\nExperience with LLM inference frameworks (vLLM, TensorRT-LLM), Kubernetes, cloud platforms, and GPU optimization.\n\nPreferred Qualifications:Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\nJob TitleAI Platform EngineerLocation: 100% Remote (Continental United States)\nPosition Type: Full-time, Direct W2\nSalary Range: $130,000–$180,000 Annually (based on experience)\nExperience Required:10+ Years\nSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.\nJob SummaryBright Vision Technologies is seeking a highly experienced AI Platform Engineer with 10+ years of experience in distributed systems, cloud-native infrastructure, and AI platform engineering to design, build, and operate enterprise-scale AI inference and machine learning platforms. The ideal candidate will possess deep expertise in LLM serving, GPU optimization, Kubernetes, cloud infrastructure, distributed systems, and MLOps, with a proven ability to deliver highly scalable, reliable, secure, and cost-efficient AI platforms supporting production machine learning workloads.\nKey Responsibilities\nDesign, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments.\n\nArchitect highly available, cloud-native infrastructure supporting Large Language Models (LLMs), foundation models, and machine learning services.\n\nOptimize inference latency, throughput, GPU utilization, memory management, and request scheduling across distributed AI workloads.\n\nDesign autoscaling, workload orchestration, traffic management, and intelligent request routing strategies for AI services.\n\nImplement model deployment, versioning, rollback, and lifecycle management using modern MLOps practices.\n\nDevelop monitoring, observability, logging, distributed tracing, and alerting solutions to ensure platform reliability and performance.\n\nImplement caching strategies, API gateways, security controls, authentication, authorization, and high-availability architectures.\n\nCollaborate with AI researchers, ML engineers, DevOps teams, and software engineers to deploy and support production AI models.\n\nDrive cloud infrastructure optimization, resource utilization, FinOps initiatives, and operational excellence.\n\nMentor engineering teams, conduct architecture reviews, and establish best practices for AI platform engineering and cloud-native development.\n\nEvaluate emerging AI infrastructure technologies, model-serving frameworks, and GPU acceleration techniques to drive continuous innovation.\n\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical discipline.\n\n10+ years of professional experience in distributed systems, infrastructure engineering, cloud platforms, or machine learning platform engineering.\n\nStrong programming skills in Python and at least one systems programming language such as Go, Rust, or C++.\n\nExtensive experience with Large Language Model (LLM) serving, model inference optimization, and production AI infrastructure.\n\nHands-on experience with vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar AI serving frameworks.\n\nStrong expertise in Kubernetes, container orchestration, Docker, and cloud-native application architectures.\n\nExperience optimizing GPU workloads using CUDA, NVIDIA GPU technologies, distributed inference, and high-performance AI infrastructure.\n\nExperience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).\n\nStrong understanding of distributed systems, networking, scalability, observability, and security best practices.\n\nExcellent analytical, communication, collaboration, and technical leadership skills.\n\nPreferred Qualifications\nExperience designing and operating multi-region AI platforms and globally distributed inference services.\n\nKnowledge of model optimization techniques such as quantization, pruning, compression, speculative decoding, KV cache optimization, and mixed-precision inference.\n\nExperience with MLOps, GitOps, Infrastructure as Code (Terraform, Bicep, CloudFormation), and CI/CD automation.\n\nFamiliarity with service mesh technologies such as Istio or Linkerd, API gateways, and event-driven architectures.\n\nContributions to open-source AI infrastructure projects, technical publications, patents, or conference presentations.\n\nExperience implementing FinOps strategies, cloud cost optimization, and enterprise AI governance.\n\nExperience with multi-region AI deployments and AI infrastructure.\n\nFamiliarity with model optimization techniques such as quantization or compression.\n\nOpen-source contributions or experience supporting large-scale AI APIs.\n\nInterested in this opportunity? Apply today for immediate consideration!\nEmail your updated resume to \n or Text (908) 505-3545 if you have any questions.\nLearn more about Bright Vision Technologies at .\nWe look forward to connecting with talented professionals and helping you take the next step in your career.\nBright Vision Technologies is an Equal Opportunity Employer.\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.\nOriginally posted on Himalayas","description_format":"text","description_chars":7817,"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":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Blockchain & Crypto","Cybersecurity"],"lifecycle":[{"event":"open","at":"2026-10-08T08:30:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["seen:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/bright-vision-technologies-ai-platform-engineer","json_url":"https://alion.io/job/bright-vision-technologies-ai-platform-engineer.json","meta":{"generated_at":"2026-10-10T01:49:17Z","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","counted_by":"address","units_charged":1,"used_today":3253,"day_limit":5000,"remaining_today":1747,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"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":449700},"rest":"https://alion.io/mcp/rest/get_company?id=449700"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbright-vision-technologies-ai-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%2Fbright-vision-technologies-ai-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%2Fbright-vision-technologies-ai-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/bright-vision-technologies-ai-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbright-vision-technologies-ai-platform-engineer"}]}