Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
Apply systems thinking to ensure reliability, performance, and security across platforms.
Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
Participate in production support and incident response for team-owned systems, learning operational best practices.
Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
1–3 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.
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
Exposure to building AI-powered platforms or products, including contributing to architectural decisions.