AI Engineer embedding LLMs, RAG, and multi - agent systems into compliance training SaaS. Modernizing ASP.NET products and deploying secure AI infrastructure at startup velocity.
GM
Staff Software Engineer – AI for Developer Productivity
Posted 15 hours ago
About the role
- Staff Software Engineer applying AI to improve developer productivity across General Motors’ embedded software toolchains. Building production-grade agents, automation, and engineering platforms.
Responsibilities
- Define the technical vision for AI-powered developer productivity capabilities across engineering tools and workflows
- Design, develop, and deliver AI-powered solutions that reduce manual effort, accelerate issue resolution, and improve software quality across development, debugging, test analysis, issue triage, documentation, and engineering support workflows
- Partner with cross-functional teams to identify high-value AI use cases and translate them into scalable products, platforms, and reusable capabilities
- Integrate AI-powered capabilities into engineering tools, workflows, and automation platforms to improve reliability, usability, and adoption
- Lead architecture and implementation decisions for AI systems spanning model access, orchestration, retrieval, evaluation, observability, security, and enterprise integration
- Drive productionization of AI capabilities within GM engineering environments, including cloud-hosted services, internal platforms, CI/CD systems, and developer tools
- Establish technical standards and best practices for responsible use of AI in engineering tools, including quality, traceability, maintainability, and cybersecurity considerations
- Serve as a subject matter expert and technical leader across organizational boundaries, influencing roadmaps, solution direction, and implementation priorities
- Mentor engineers on AI system design, prompt and workflow design, evaluation strategies, and toolchain integration without formal people-leader responsibility
- Present strategy, progress, recommendations, and demonstrations to technical leaders and partner organizations
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field
- 10+ years of experience in software engineering, developer tooling, platform engineering, machine learning engineering, applied AI, or a closely related field
- Strong expertise building and shipping production software systems, with proficiency in Python and at least one additional language used in engineering tooling environments
- Proven experience designing, developing, and deploying agentic AI models and autonomous, tool-using AI systems in production environments
- Demonstrated expertise applying AI and LLM-based approaches to engineering problems such as code analysis, workflow automation, knowledge retrieval, summarization, troubleshooting, or developer productivity support
- Strong understanding of software engineering fundamentals, system design, APIs, data flows, observability, and production operations
- Experience integrating AI-powered capabilities into enterprise platforms, engineering tools, or CI/CD systems
- Experience with cloud services, containerization, and orchestration technologies
- Strong knowledge of secure engineering practices and responsible AI guardrails
- Demonstrated success leading technically ambiguous, cross-functional efforts from concept through production deployment
- Excellent communication skills and the ability to influence technical direction across teams without formal authority
- Experience with developer platforms, build systems, testing systems, or internal engineering tools
- Experience balancing fast experimentation with production reliability, maintainability, and compliance
- GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future
- Preferred: Master’s degree or PhD in Computer Science, Software Engineering, Machine Learning, AI, or a related field
- Preferred experience in embedded software development, automotive software, systems engineering, or safety-related toolchains
- Preferred experience with CI/CD platforms, build and test orchestration, and software quality automation
- Preferred familiarity with GM engineering tools, engineering workflows, or internal platform environments
- Preferred experience building AI assistants, coding agents, or domain-specific AI capabilities for engineers
- Preferred experience with knowledge systems, vector search, ranking, workflow orchestration, or code intelligence platforms
- Preferred experience supporting large engineering communities through reusable tools, templates, and automation
- Preferred experience evaluating AI quality in production systems using measurable outcomes
- Preferred experience designing retrieval-augmented or tool-using AI workflows
- Preferred experience integrating AI into GitHub-based engineering workflows or related enterprise automation pipelines
Benefits
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including health care spending account and wellness incentive.
- Life insurance plans to cover you and your family.
- Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
- GM Vehicle Purchase Plan for you, your family, and friends.
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