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GM is looking to hire highly skilled and experienced Staff Software Engineers to join our team focused on developing cutting-edge AI agents. This role involves leading the design, development, and deployment of robust, scalable, and intelligent software agents that drive innovation across our products and services. The ideal candidate will have a deep understanding of AI/ML principles, distributed systems, and a track record of technical leadership.
Job Responsibility:
Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment
Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance
Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices
Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions
Conduct complex code reviews, system design reviews, and provide constructive feedback
Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure
Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack
Requirements:
Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure
Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin
Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents
Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives
Nice to have:
Master's or Ph.D. in Computer Science or a related quantitative field
Deep expertise in specific AI agent technologies (e.g., Reinforcement Learning, Multi-Agent Systems, Large Language Models (LLMs))
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
Proficient with Android development with a proven ability to design and deploy high performance applications
Proven ability to communicate complex technical concepts effectively to both technical and non-technical audiences
A strong portfolio of contributions to open-source projects or relevant publications
What we offer:
Incentive pay program offers payouts based on company performance, job level, and individual performance