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2 дня назад

Lead Full Stack Developer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Full Stack Developer (AI): Designing and delivering scalable full stack applications and AI-enabled engineering solutions with an accent on AI-native development workflows, RAG pipelines, and cloud-native architecture. Focus on integrating agentic AI frameworks, optimizing developer productivity through AI tools, and mentoring engineering teams in modern software standards.

Location: Onsite in Plano, TX

Company

Digital innovation and enterprise AI services provider helping businesses accelerate innovation through deep technical expertise and global digital talent.

What you will do

  • Lead the architecture and delivery of scalable full stack applications and AI-integrated engineering solutions.
  • Drive adoption of AI-native development workflows to improve productivity, code quality, and delivery velocity.
  • Mentor developers across frontend, backend, and cloud initiatives while establishing coding standards and CI/CD processes.
  • Implement secure REST APIs, event-driven architectures, and complex third-party platform integrations.
  • Evaluate and integrate emerging AI technologies, agentic frameworks, and LLMOps practices into enterprise applications.
  • Collaborate with cross-functional stakeholders and product teams to define technical roadmaps.

Requirements

  • 10+ years of professional experience with .NET/C#, Node.js, and TypeScript.
  • Expertise in Azure services including App Services, Event Hub, Azure Functions, and Azure DevOps.
  • Must be based in Plano, TX (Onsite).
  • Advanced proficiency with AI coding assistants (Cursor, Claude, Copilot) and agentic frameworks like LangChain or LangGraph.
  • Strong understanding of RAG pipeline architecture, vector search, and managed AI services (AWS Bedrock, Azure AI, OpenAI).
  • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field.

Nice to have

  • Experience with Databricks or Azure Data Platform.
  • Familiarity with AWS cloud infrastructure.
  • Background in enterprise retail, commerce, payment gateways, or POS integrations.
  • Experience leading distributed or offshore engineering teams.

Culture & Benefits

  • Entrepreneurial environment that promotes self-reliance, open communication, and collaboration.
  • Access to advanced training to stay current with rapidly evolving AI technologies.
  • Opportunity to solve complex, real-world business problems for both startups and enterprises.
  • Culture that values proactive individuals who thrive on challenges and responsibility.

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