Google Cloud Platform Conversation Engineer -- Remote 100% -- only W2
Posted 4 days ago by 1763274494
Negotiable
Outside
Remote
USA
Summary: The Google Cloud Platform Conversation Engineer role is a 24-month remote contract position focused on developing conversational AI solutions using Google Cloud technologies. The ideal candidate will possess advanced skills in Dialogflow and strong programming capabilities in JavaScript and Python. The role emphasizes API integration and familiarity with retrieval-based architectures for conversational AI. This position is exclusively for W2 employees and is classified as outside IR35.
Key Responsibilities:
- Build intents, entities, flows, and fulfillment logic using Dialogflow CX/ES.
- Utilize Google Cloud Platform services such as Cloud Functions, Firestore, and Pub/Sub.
- Develop webhooks and integrate APIs using JavaScript and Python.
- Implement authentication and dynamic content injection for RESTful APIs.
- Work with retrieval-based architectures and integrate LLMs for conversational AI.
- Manage version control and CI/CD practices on Google Cloud Platform.
Key Skills:
- Advanced experience with Dialogflow CX/ES.
- Strong knowledge of Google Cloud Platform services.
- Proficiency in JavaScript and Python.
- Experience with RESTful APIs and authentication methods.
- Familiarity with retrieval-based architectures for conversational AI.
- Knowledge of Git and DevOps practices.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Only W2
Google Cloud Platform Conversation Engineer
Location: 100% remote
Contract: 24 months
Top Skills Required:
Dialogflow CX/ES: Advanced experience in building intents, entities, flows, and fulfillment logic.
Google Cloud Platform: Strong knowledge of Cloud Functions, Firestore, Pub/Sub, Cloud Run, IAM, and security best practices.
Programming: Proficiency in JavaScript and Python for webhook development and API integration.
API Integration: Experience with RESTful APIs, authentication (OAuth, JWT), and dynamic content injection.
RAG Implementations: Familiarity with retrieval-based architectures and integrating LLMs for conversational AI.
Version Control & CI/CD: Git, automated deployments, and DevOps practices on Google Cloud Platform.