Software Engineer (Ai)

TL;DR

Software Engineer (AI): Developing features and integrations for the Agentforce platform, leveraging advanced algorithms, Big Data technologies, and generative AI to build process intelligence capabilities. Focus on architectural decisions, driving best practices in software design, testing, and operational readiness.

Location: Work in-person three days per week; or 10 days per quarter for some engineering teams.

Company

hirify.global is seeking a versatile and mission-driven Software Engineer to join a team leveraging advanced algorithms, Big Data technologies, and generative AI to build process intelligence capabilities in the Agentforce platform.

What you will do

• Architect, design, implement, test and deliver highly scalable products.
• Drive architectural decisions across teams and guide the implementation of complex features.
• Provide technical leadership and mentorship to other engineers.
• Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics.
• Actively participate in release and deployment process.
• Participate in the team’s on-call rotation to address sophisticated problems in real-time and keep services operational and highly available.

Requirements

• Bachelor’s degree in computer science or related field.
• 6+ years of professional software development experience.
• Strong proficiency in Java.
• Experience in web standards and technologies including REST, HTTP protocols, WebSockets, Redis and API lifecycle management.
• Deep expertise in relational databases and data modeling.
• Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium.

Nice to have

• Experience developing modern, component-based user interfaces using React or related frontend technologies, and collaborating effectively across frontend and backend boundaries.
• Familiarity in building and delivering highly scalable, reliable, and complex software systems in a hosted cloud environment using AWS, Docker, and Kubernetes.
• Experience in working and developing with AI and Large Language Models (LLMs).
• Master's degree in Computer Science or equivalent field.
• Track record of being a top performer in current and past roles.