Software Engineer - Conversational AI & Messaging

Description
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX, or Warren, MI three times per week.
The Role
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.
What You'll Do (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.

Your Skills & Abilities (Required Qualifications)

• 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.

• Understanding 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.

What Will Give You A Competitive Edge (Preferred Qualifications)

• 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.

Additional Information:
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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