Sign upLog in
See more jobs

Senior / Lead AI Platform Engineer (Full-Stack, Cloud, RAG & LLMs)

CloudQuest Solutions

  • Ashburn, Virginia
  • 30+ days ago

    Highlights

    Work with cutting-edge AI technologies, shape architecture decisions, own features end-to-end, and help build next-generation AI capabilities in a high-impact role. You’ll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security.

    Numbers & Facts

    LocationAshburn, Virginia
    Websitehttps://cloudquestinc.com

    Description

    We’re seeking a versatile Senior/Lead AI Engineer to architect and build secure, scalable AI solutions across the full stack. You’ll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security. This role is ideal for a strong generalist with deep experience in modern AI frameworks and cloud-native development.

    Requirements

    Responsibilities

    • Integrate and optimize LLMs (Azure OpenAI, Claude, Gemini) and build orchestration, prompts, and guardrails

    • Build RAG pipelines (LlamaIndex/Haystack/LangChain), vector search, and document ingestion workflows

    • Develop backend APIs/microservices (Python/Node.js) with secure auth (OAuth/OIDC, Entra ID)

    • Build and enhance chat-based UIs/admin dashboards (React/Next.js)

    • Deploy cloud-native services to Azure; implement IaC, CI/CD, monitoring, and logging

    • Ensure data protection, RBAC, encryption, and secure development practices

    Required Qualifications

    • 7+ years software engineering experience

    • Strong Python or Node.js skills

    • Hands-on LLM and RAG experience

    • Familiarity with Azure cloud services

    • Strong understanding of OAuth/OIDC and identity systems

    • Experience with React or similar UI frameworks

    • DevOps and CI/CD experience

    • Strong system design and problem-solving skills

    Preferred

    • Experience with LlamaIndex, Haystack, LangChain

    • Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search)

    • Kubernetes/container orchestration

    • Security, governance, and compliance experience

    Why Join Us

    Work with cutting-edge AI technologies, shape architecture decisions, own features end-to-end, and help build next-generation AI capabilities in a high-impact role.



    Similar Jobs

    See more jobs