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Senior Full Stack AI Engineer (YQ - 05262026 - FTSFAE)

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • β€’
    Troubleshooting (Problem Solving)
  • β€’
    Collaboration
  • β€’
    Leadership
  • β€’
    Mentorship
  • β€’
    Decision Making
  • β€’
    Communication
  • β€’
    Teamwork

Roles & Responsibilities

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (or equivalent practical experience)
  • 5+ years of experience in Full Stack Software Development
  • 3+ years of experience working with AI/LLM-powered applications, including integrating OpenAI, Claude, Anthropic, or similar APIs
  • Strong proficiency in Python and/or Node.js; experience building production-grade SaaS platforms and REST APIs

Requirements:

  • AI Agent Development: design, develop, and deploy AI agents powered by LLMs; implement prompt engineering; build agent workflows, memory management, tool integrations; develop AI-powered review response generation, sentiment analysis, and reputation monitoring; optimize AI performance and costs
  • Backend Development: architect and develop scalable backend services using Python and/or Node.js; build RESTful and GraphQL APIs; implement authentication, authorization, logging, monitoring, and security best practices; design and maintain database schemas and data pipelines; develop asynchronous processing and background job systems
  • API Integration & Automation: integrate with third-party platforms (Google Business Profile, Yelp, Facebook Reviews, etc.); build resilient API orchestration with retries, rate limits, and fault tolerance; implement webhook-based and scheduled synchronization
  • Frontend Development & Product Ownership: design and develop customer dashboards and admin portals; create responsive frontend with modern frameworks; develop reporting/analytics/review monitoring/AI-generated response management features; collaborate with founders and designers, mentor juniors, and contribute to engineering standards

Job description

Position: Senior Full Stack AI Engineer

Number of hours: 40 hours/week
Schedule: EST

Tasks required:

  • AI & Agent Development

    • Design, develop, and deploy AI agents powered by LLMs such as Claude, OpenAI GPT, and similar models.

    • Create robust prompt engineering frameworks to maximize AI accuracy, reliability, and consistency.

    • Implement agent workflows, reasoning chains, memory management, and tool integrations.

    • Develop AI-powered review response generation, sentiment analysis, and reputation monitoring capabilities.

    • Optimize AI performance, response quality, and operational costs.

  • Backend Development

    • Architect and develop scalable backend services using Python and/or Node.js.

    • Build RESTful and GraphQL APIs to support AI workflows and customer applications.

    • Implement authentication, authorization, logging, monitoring, and security best practices.

    • Design and maintain database schemas and data pipelines.

    • Develop asynchronous processing and background job systems for AI and API operations.

  • API Integration & Automation

    • Integrate with third-party platforms including:
      • Google Business Profile

      • Yelp

      • Facebook Reviews

      • Other review and reputation management platforms

    • Build resilient API orchestration workflows with retry mechanisms, rate-limit handling, and fault tolerance.

    • Implement webhook-based and scheduled synchronization processes.

  • Frontend Development

    • Design and develop customer-facing dashboards and administrative portals.

    • Build responsive and intuitive user experiences using modern frontend frameworks.

    • Develop reporting, analytics, review monitoring, and AI-generated response management features.

  • System Architecture & DevOps

    • Define and maintain system architecture, infrastructure, and deployment strategies.

    • Ensure scalability, performance, reliability, and security across the platform.

    • Establish CI/CD pipelines and development best practices.

    • Implement monitoring, observability, and alerting systems.

  • Product Ownership

    • Collaborate with founders, product stakeholders, and designers to translate requirements into technical solutions.

    • Lead technical decision-making and architecture discussions.

    • Mentor junior developers and contribute to engineering standards and processes.


Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (or equivalent practical experience).

  • 5+ years of experience in Full Stack Software Development.

  • 3+ years of experience working with AI/LLM-powered applications.

  • Strong proficiency in Python and/or Node.js.

  • Experience integrating OpenAI, Claude, Anthropic, or similar LLM APIs.

  • Strong knowledge of prompt engineering techniques and AI workflow design.

  • Experience building production-grade SaaS platforms.

  • Strong experience with REST APIs, webhooks, and third-party API integrations.

  • Experience with SQL and NoSQL databases.

  • Experience building modern frontend applications using React, Next.js, Vue.js, or similar frameworks.

  • Strong understanding of cloud platforms such as AWS, GCP, or Azure.

  • Experience implementing authentication, authorization, and security best practices.

  • Strong troubleshooting, debugging, and error-handling skills.



Preferred Qualifications:

  • Experience building AI agents, autonomous workflows, or agentic systems.

  • Experience with vector databases and Retrieval-Augmented Generation (RAG).

  • Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar AI frameworks.

  • Experience with Docker, Kubernetes, and containerized deployments.

  • Knowledge of observability tools such as Datadog, Grafana, Prometheus, or OpenTelemetry.

  • Experience in reputation management, social media platforms, or marketing technology solutions.

  • Startup experience with ownership of products from concept to production.


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