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Job Description
A Senior Software Engineer responsible for driving AI adoption and developing innovative AI-driven features across the organization, utilizing full-stack engineering skills and emerging AI technologies to solve complex problems and enhance products.
Key Responsibilities
- Drive the adoption of Agentic AI practices across the organization to enhance development workflows.
- Develop robust features and products by integrating AI-driven processes with full-stack engineering.
- Solve large-scale, complex problems using AI-first methodologies and lead experiments to create repeatable solutions.
- Collaborate with cross-functional teams to integrate AI tools and workflows into existing systems.
- Work across diverse platforms and technologies, including IoT, SaaS, and agent-based solutions.
- Contribute to backend services, websites, and databases, and lead the creation of scalable, high-availability services using AI workflows.
- Research emerging AI technologies and establish reusable frameworks, processes, and best practices.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a related field or equivalent work experience
- At least 5 years of professional software development experience
- Experience coding with autonomous agents, AI copilots, or working with AI-assisted coding tools such as Copilot
- Experience in full-stack engineering, including backend services, websites, external-facing APIs, and database-related tasks
- Fluent in modern programming languages and paradigms such as Python, C++, JavaScript, and capable of advancing IoT and SaaS technologies
- Experience working with distributed systems and event streaming platforms such as Kafka
- Experience working in startup environments characterized by rapid iteration and ambiguity
- Ability to lead and contribute to the development of scalable, high-throughput, and high-availability services using AI-enabled workflows
- Ability to investigate emerging AI technologies and define reusable frameworks, processes, and best practices for organizational scaling and impact
- Strong problem-solving skills to tackle large-scale, complex challenges using AI-first methodologies, creativity, and ambition
- Ability to collaborate closely with device engineers, business partners, and other engineering teams to integrate AI tools and workflows into existing ecosystems
- Willingness to work in an environment that values in-person collaboration, with employees working from the office 4 days a week
Benefits & Perks
Competitive pay and benefits including subsidized medical plan options
HSA with generous company contribution
401(k) plan with employer match
Paid holidays, wellness time, and vacation increasing with tenure
Paid maternity and bonding leave
Company-paid disability and life insurance
FSA options
Well-being resources and activities
Casual dress work environment
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