AI Engineer II (Ai)

TL;DR

AI Engineer II (AI): Leading the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with an accent on enhancing the customer experience, improving decision-making, or automating complex workflows. Focus on translating ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions and mentoring AI team members.

Company

hirify.global is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible.

What you will do

• Lead the design, development, and ownership of AI-powered internal platforms and systems.
• Design and implement AI-driven features, intelligent automation, and orchestration systems.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.

Requirements

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Nice to have

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
• Strong foundation in core machine learning and data science principles.
• Experience with transformer architectures and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases.

Culture & Benefits

• Work with a team of brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators.
• Opportunity to develop new ways of doing things and take calculated risks.
• Work in a culture that values high standards, action, and trust.