Staff Software Engineer
TENEX.AI
AWSCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaScriptKubernetesMySQLNext.jsPostgresPython+2 more
Lead Software Engineer
Commerce
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $134,000 - $275,000 per year
Job Level
Senior
Tech Stack
AngularAWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPythonReactSQL
About the role
- Commerce is an AI-driven commerce ecosystem connecting tools and systems across BigCommerce, Feedonomics, and Makeswift
- Lead AI Engineer role to shape and execute AI vision across product lines
- Interface with domain teams, executives and stakeholders to provide context, direction, and technical guidance
- Contribute to and author high level designs and partner on strategic alignment
- Serve as lead engineer for major initiatives and develop/implement low level designs
- Facilitate quick-turnaround solutions balancing delivery speed, scalability, and reliability
- Collaborate with Product & Engineering leadership to shape AI strategy and assess technology fit
- Build scalable, secure, cost-effective and performant solutions at large scale
- Upskill the organization by evangelizing technologies and identifying opportunities for experimentation and education
Requirements
- 5+ years of coding experience in one or more server-side languages (Python, GoLang, Java, etc)
- Minimum Bachelor's degree in CS, EE, SW, CE, MIS; Master preferred
- Proven experience architecting and building AI/ML systems in production
- Experience building product solutions with LLMs and GenAI technologies
- Deep understanding of and experience with RAG pipelines, MCP, AI agents, multimodal LLMs, prompt orchestration, LLM telemetry and inspection
- Experience working with product data pipelines and familiarity with e-commerce taxonomies and schemas (preferred)
- Familiarity with modern AI infrastructure (vector databases, model orchestration, inference frameworks, cloud-native ML workflows)
- Expertise in cloud platforms (AWS, GCP, or Azure), API architecture, and modern MLOps practices
- Solid experience with SQL, in-memory storage and similar data storage solutions
- Hands-on leadership experience with cross-functional teams (engineering, product, design, data science)
- Exceptional written and verbal communication skills; ability to translate high-level designs into low-level implementations
- Familiarity with Angular, React and other frontend frameworks
