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Open nowFirst seen 4 days ago

AI Software Engineer (YQ - 05262026 - FTASE)

Rippedboxstation421 open roles

Where
Manila, Metro Manila, Philippines, Remote
Work mode
Remote
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Your applicationOpen nowAI Software Engineer (YQ - 05262026 - FTASE)Rippedboxstation · Manila, Metro Manila, Philippines, Remote
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

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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