Staff Software Engineer (Ai)

TL;DR

Staff Software Engineer (AI): Building and engineering the entire lifecycle of agentic applications, bridging the gap between AI research and full-stack production systems with an accent on transforming Customer Support through AI-powered tools. Focus on designing software infrastructure, integrating React-based front-ends with backend services, and mentoring high-performing engineers.

Location: Remote - Canada

Salary: $160,320 - $200,400

Company

hirify.global is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide.

What you will do

• Co-lead the design and development of software infrastructure, driving technical vision and strategy.
• Drive the development of sophisticated, stateful web applications, overseeing the integration of React-based front-ends with backend modular services.
• Serve as a developer leader in distributed systems and data technologies.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and elevate a team of high-performing engineers, fostering a culture of technical excellence.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
• Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
• Proven track record of architecting and delivering complex data projects at scale.
• Strong understanding of data modeling, data warehousing, and ETL processes.
• Excellent communication and collaboration skills.
• Strong leadership skills.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Nice to have

• Experience developing production-quality LLM applications and using modern agent frameworks.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Culture & Benefits

• Competitive pay, generous time off, ample parental and wellness leave.
• Healthcare, a retirement savings program, and much more.
• Employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

Hiring process

• Solve problems, take initiative, pitch in when needed, and are always up for trying new things.
• Empower employees to build positive change in their communities by supporting their volunteering and donation efforts.