LogoFresh Jobs Ahead
Penn Foster
Penn Foster
201 – 500 Xodimlar
B2BB2CTa’lim
Penn Foster kasbga yo‘naltirilgan ta’limga e’tibor qaratadigan, akkreditatsiyadan o‘tgan onlayn ta’lim provayderidir. Muassasa o‘rta maktab ta’limi va kasbiy sertifikatlardan tortib diplomlar, associate va bakalavr darajalarigacha bo‘lgan moslashuvchan, talaba o‘z sur’atida o‘qiydigan dasturlarni taklif etadi. Uning o‘quv dasturlari sog‘liqni saqlash, veterinariya texnologiyasi, malakali kasblar, avtomobillarni ta’mirlash, biznes, axborot texnologiyalari, jinoyat adliyasi, dizayn, mehmondo‘stlik va boshqa kasbiy yo‘nalishlarni qamrab oladi. 133 000 dan ortiq faol talabaga xizmat ko‘rsatuvchi Penn Foster o‘quv materiallarini kecha-yu kunduz onlayn taqdim etadi, shuningdek maktablari va bo‘limlari orqali ish beruvchilar uchun ta’lim yechimlarini ishlab chiqadi. Uning dasturlari orasida muassasa va muayyan dastur darajasida akkreditatsiyadan o‘tgan yo‘nalishlar, jumladan AVMA-CVTEA akkreditatsiyasiga ega veterinariya texnigi dasturi ham mavjud.
LinkedIn
Kompaniyadagi ish o‘rinlari

Lead AI Software Engineer — Remote in the United States

Lead the development of LLM-powered learning and content-authoring products at Penn Foster. Build full-stack AI systems, retrieval pipelines, agentic workflows, and evaluation capabilities.

USAmerika Qo‘shma ShtatlariMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AzureBulutJavaScriptNode.jsPostgresTaqsimlangan tizimlarTypeScriptVue.js

Tavsif

  • Set technical strategy and architecture for AI-powered experiences across learner and content-authoring products
  • Build and deliver full-stack applications with TypeScript, Vue.js, Node.js, PostgreSQL, and Azure
  • Lead complex cross-functional initiatives from initial problem definition through launch, adoption, and continuous improvement
  • Create reusable approaches for retrieval-augmented generation, agentic workflows, model orchestration, prompt management, and human-in-the-loop experiences
  • Develop evaluation frameworks, quality measures, observability, and feedback mechanisms for LLM features
  • Integrate Anthropic, OpenAI, and other model APIs while managing reliability, latency, token use, cost, privacy, security, prompt-injection exposure, and graceful degradation
  • Direct the technical development of AI-enabled content-authoring and management capabilities
  • Work with product, platform, design, data, and engineering partners to turn ambiguous needs into actionable plans and production systems
  • Assess architectural risks, explain tradeoffs, and balance delivery speed with quality, maintainability, and long-term value
  • Improve engineering standards through design and code reviews, documentation, operational practices, and development processes
  • Mentor engineers in AI-assisted development, context engineering, evaluation design, reliability, and agentic workflows
  • Apply agentic coding tools such as Claude Code, Cursor, or equivalent across planning, implementation, testing, and review
  • Build production systems that are scalable, observable, secure, accessible, and financially sustainable
  • Participate in engineering-wide decisions on responsible AI adoption, technical standards, platform capabilities, and organizational priorities

Talablar

  • At least 10 years of experience building and operating customer-facing software products
  • Demonstrated technical leadership as a staff or principal engineer, tech lead, or comparable role
  • Strong full-stack fundamentals across browser technologies, TypeScript, Node.js, PostgreSQL, cloud infrastructure, and distributed systems
  • Experience delivering AI products with LLMs, retrieval systems, evaluation frameworks, agentic workflows, or related technologies
  • Proven ability to lead initiatives across multiple teams, systems, or organizational boundaries
  • Ability to establish technical direction without formal authority and align diverse stakeholders
  • Sound architectural judgment and clear communication of complex tradeoffs to technical and non-technical audiences
  • Experience developing durable engineering patterns, platforms, or capabilities
  • Product-oriented approach focused on user experience, quality, speed, and measurable results
  • Comfort operating in ambiguous environments
  • Strong ownership across strategy, architecture, implementation, and operational execution
  • Experience mentoring engineers and improving engineering practices
  • Commitment to reliable, secure, observable, and cost-efficient AI systems
  • Ability to work effectively in a remote, async-first environment
  • Experience in a startup or organization with high engineering standards
  • Must live and work within the United States
  • Willingness and ability to travel when needed
  • Availability to appear on camera during meetings except when extenuating circumstances apply
  • Successful completion of applicable pre-employment screening
  • Completion of employment eligibility verification through Form I-9

Imtiyozlar

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Flexible spending accounts
  • Generous paid time off
  • Sponsored volunteer opportunities
  • 401(k) plan with company matching
  • Free access to Penn Foster Group online programs
  • Remote work arrangement
  • Occasional travel for team meetings, company events, conferences, and summits

O‘xshash ish o‘rinlari

LouisianaNOW.Jobs

Senior Network Engineering Manager

LouisianaNOW.Jobs
51 – 200 Xodimlar
MarketpleysXodimlarni yollash
USAmerika Qo‘shma ShtatlariLALuiziana
148 750 $ – 201 250 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMuhandislik menejeri
BulutTarmoqlararo ekranlar

Lead network engineering teams responsible for cloud and data center infrastructure at GDIT, a government technology and professional services company. Oversee architecture, operations, modernization, and program growth.

Ochish
EY

AI Software Engineer, Financial Advisory

EY
H1B vizasi homiysiHuquqMarketingSog‘liqni saqlash
AEBirlashgan Arab AmirliklariMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaDasturiy ta’minot muhandisiFull-stack muhandisi
AWSAzureBulutGoogle Cloud PlatformPythonPyTorchTensorFlow

Build and deploy GenAI, LLM, and MLOps solutions for EY financial advisory clients across the Middle East and North Africa. Contribute to AI strategy, production delivery, and business development.

Ochish