AI Developer - Conversational AI & Cloud Infra Expert

Seneca Resources; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Seneca Resources invites a senior AI engineer to design and deploy enterprise conversational agents using Dialogflow CX and GECX across complex workflows. You will build REST APIs, webhooks, and microservices, integrate with ServiceNow and Azure services, and oversee automated testing, CI/CD pipelines in Azure DevOps, and security practices including OAuth2.

Strong collaboration with cross-functional teams is essential.

Qualifications

• Hands-on experience designing and deploying enterprise conversational AI agents using GECX / Dialogflow CX.
• Experience building REST APIs, webhooks, microservices, and asynchronous integrations.
• Strong automated testing across APIs, backend services, and conversational AI solutions.
• Advanced experience building and maintaining Azure DevOps CI/CD pipelines, including YAML pipelines.
• Hands-on experience integrating enterprise applications with ServiceNow REST APIs and Azure services.
• Strong SQL development and relational database experience.
• Experience with prompt engineering, intent classification, conversational context management, and escalation patterns.
• Experience working in SAFe Agile environments including PI Planning and ART dependencies.
• Strong Git-based development and proficiency with VS Code.
• Understanding of enterprise security practices including OAuth2, RBAC, API security, and secrets management.

Skills

Dialogflow CX

REST APIs

Webhooks

CI/CD pipelines

SQL

Prompt engineering

Agile SAFe

Git

Troubleshooting

Cross-functional collaboration

Tools

Azure DevOps

VS Code

Docker

Kubernetes

ServiceNow

OAuth2

Postman

PyTest

NUnit/xUnit

Job description

Seneca Resources invites a senior AI engineer to design and deploy enterprise conversational agents using Dialogflow CX and GECX across complex workflows. You will build REST APIs, webhooks, and microservices, integrate with ServiceNow and Azure services, and oversee automated testing, CI/CD pipelines in Azure DevOps, and security practices including OAuth2.

Strong collaboration with cross-functional teams is essential.