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GECX Sr. Dev

Job in Philadelphia, Philadelphia County, Pennsylvania, 19102, USA
Listing for: Apolis
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below

GECX Sr. Dev

Location:

Philadelphia, PA (Onsite) Duration:
Long Term Contract

Basic Qualifications:

  • Immediate availability
  • Background check MANDATORY

Required Skills:

  • Strong hands-on experience with Google CES (Customer Engagement Suite), Dialogflow CX / ES, Playbooks & conversational orchestration, GE4CX (Generative AI for Customer Experience)
  • Experience building Agentic AI solutions, autonomous or semi-autonomous AI agents, multi-step reasoning conversational systems
  • Understanding of LLMs, prompt engineering, grounding techniques, RAG (Retrieval-Augmented Generation)
  • Strong understanding of GCP architecture and services, including Vertex AI, Cloud Functions / Cloud Run, Pub/Sub, Big Query
  • Proficiency in Python, JavaScript, or Java
  • Experience with REST APIs, microservices, and integrations
  • Familiarity with CI/CD pipelines and Dev Ops practices

Preferred Qualifications:

  • Experience in deploying cloud-native applications

Role and Responsibilities:

  • Design, develop, and deploy conversational AI solutions using Google CES / Dialogflow CX / ES
  • Build and manage AI agents and agentic workflows leveraging Playbooks and GenAI for CX (GE4CX)
  • Implement multi-channel conversational experiences (chat, voice, telephony)
  • Integrate conversational agents with backend systems via APIs, webhooks, and cloud services
  • Utilize Google Cloud services (Cloud Functions, Pub/Sub, Vertex AI, etc.) for scalable solutions
  • Design and optimize intents, entities, and conversation flows
  • Build context-aware and adaptive AI agents using modern agentic frameworks
  • Collaborate with UX designers, product managers, and business stakeholders
  • Ensure performance optimization, monitoring, and continuous improvement of AI solutions
  • Apply best practices in security, scalability, and maintainability
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