AI developer

Seneca Resources
Mundelein, IL, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Automation of Tests Microsoft Azure C Sharp (Programming Language) Relational Databases Python (Programming Language) Key Management Node.Js
+21 more
OAuth Role-Based Access Control Azure DevOps Pipelines Session Management Systems Integration TypeScript YAML Enterprise Software Applications Chatbots Delivery Pipeline Prompt Engineering Software Security Software Troubleshooting Backend Git Deployment Automation Restful APIs Webhooks Natural Language Understanding Servicenow Microservices

Requirements

  • Strong hands-on experience designing and deploying enterprise conversational AI agents using GECX / Dialogflow CX. \n

  • Deep understanding of Dialogflow CX capabilities including flows, intents, state handlers, route groups, condition rules, webhook fulfillment, context/session management, and generative capabilities. \n

  • Strong Python development experience. \n

  • Hands-on development experience with C#/.NET, TypeScript, JavaScript, and Node.js. \n

  • Experience building REST APIs, webhooks, microservices, and asynchronous integrations. \n

  • Strong automated testing experience across APIs, backend services, and conversational AI solutions. \n

  • Advanced experience building and maintaining Azure DevOps CI/CD pipelines, including YAML pipelines and automated deployment processes. \n

  • Hands-on experience integrating enterprise applications with ServiceNow REST APIs and Azure services. \n

  • Strong SQL development and relational database experience. \n

  • Experience with prompt engineering, intent classification, conversational context management, fallback orchestration, and human escalation patterns. \n

  • Experience working within SAFe Agile environments, including PI Planning and Agile Release Train dependencies. \n

  • Strong Git-based software-development experience and proficiency with modern development environments such as VS Code. \n

  • Understanding of enterprise security practices including OAuth2, RBAC, API security, and secrets management. \n

  • Strong troubleshooting, analytical, communication, and cross-functional collaboration skills. \n

Benefits & conditions

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  • Experience with Google Vertex AI and generative AI capabilities. \n

  • Experience with Contact Center AI (CCAI) architectures. \n

  • Experience integrating conversational AI with telephony or voice platforms. \n

  • Knowledge of SRE practices, telemetry, observability, monitoring, and AIOps. \n

  • Experience with Docker and Kubernetes. \n

  • Experience deploying serverless solutions using Google Cloud Run, Google Cloud Functions, or Azure Functions. \n

  • Experience supporting large-scale, highly available enterprise AI or conversational platforms. \n

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Tools & Technologies

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Conversational AI: GECX / Dialogflow CX, Vertex AI, LLMs, Generative AI

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