Software Engineer – Conversational AI & Messaging

GM • Warren, MI

4d • Hybrid

About The Position

The Messaging and Conversational AI team is seeking a skilled Software Engineer to contribute to the development of next-generation, customer-facing AI chat solutions. In this role, you will help bridge the gap between advanced Artificial Intelligence and practical customer assistance , building virtual assistants that serve General Motors customers globally. As a core contributor, you will be responsible for the implementation and maintenance of conversational experiences. You will exercise independent judgment to resolve non-routine problems in the Natural Language Understanding (NLU) and Generative AI space within established guidelines. You will collaborate with senior engineers and product managers to deliver performant , production-grade systems.

Requirements

• 3–5+ years of experience in software engineering with strong fluency in Python, Java, or JavaScript/TypeScript.
• Ability to contribute to technical design discussions, make implementation decisions for distributed systems, and drive features from concept to completion.
• Working experience designing and consuming RESTful APIs and microservices.
• Familiarity with CI/CD pipelines, testing frameworks, and monitoring tools.
• U nderstanding of AI chat solution concepts, including NLU/NLP, intent recognition, entity extraction, and dialog management.
• Strong problem-solving skills and the ability to work in a collaborative environment.
• Bachelor’s degree in computer science or equivalent professional experience.

Nice To Haves

• Direct experience with Salesforce Service Cloud, specifically implementing or configuring Salesforce Messaging for In-App and Web (MIAW).
• Hands-on experience specifically with the Google Cloud Platform (GCP) AI stack, including Vertex AI, Agent Builder, or Dialogflow CX.
• Experience supporting RAG (Retrieval-Augmented Generation) architectures to ground LLM responses in enterprise data.
• Ability to adapt communication style to explain technical concepts to non-technical stakeholders.

Responsibilities

• Develop and deploy scalable, customer-facing AI chat solutions, acting as a reliable technical resource for the team’s deliverables.
• Leverage Large Language Model (LLM) technologies to create natural, context-aware, and helpful customer interactions using established design patterns.
• Build and maintain robust integrations between chat interfaces (Web, SMS, Apple Messages for Business) and internal GM backend APIs/services.
• Collaborate with the team by participating in code reviews, sharing knowledge with peers, and contributing to a culture of technical excellence.
• Identify and resolve non-routine technical issues in the customer support domain, applying learned techniques and judgment to propose solutions.
• Engage with cross-functional partners (Service Cloud, Data Science, Vehicle Engineering) to ensure proper integration of technical components.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level