
AI-Directed Software Engineer
Posted Jun 24

Posted Jun 24
This is a fully remote position, open to applicants in United States.
• Overseeing the complete delivery process of features from concept through demonstration to production, encompassing backend, frontend, and deployment.
• Utilizing AI tools to create code, APIs, user interfaces, SQL queries, infrastructure configurations, and workflows.
• Breaking down product requirements into tasks that can be executed by AI.
• Validating, testing, and solidifying the outputs generated by AI.
• Configuring and deploying services built using Kubernetes and Docker.
• Managing throughput and cycle time for your designated workstreams.
• Fostering continuous improvement in AI-driven development methodologies, prompts, and tools.
• Strong foundational knowledge in software engineering (APIs, distributed systems, debugging, data flow management).
• Versatility across the full stack — adept at transitioning between backend services, user interfaces, and deployment configurations within a single day.
• Familiarity with containers and Kubernetes (or a readiness to learn quickly); capable of debugging a malfunctioning pod, interpreting a manifest, and implementing a Helm change.
• Proven experience in utilizing AI coding tools (such as Claude Code, Cursor, Copilot, or similar) to deliver tangible results.
• Keen attention to detail when reviewing AI outputs — particularly for nuanced correctness, security, or deployment concerns.
• Ability to thrive in fast-paced, ambiguous, and rapidly evolving environments.
• Preference for delivering functional software over achieving perfect design.
• Systems thinking — comprehending how components function together at scale.
• Openness to challenge both human and AI-generated assumptions.
• Strong written communication skills — effective prompting is akin to writing.
• Health insurance.
• Flexible work arrangements.
• Professional development opportunities.
Phase2
Job Mobz
RTX
Get handpicked remote jobs straight to your inbox weekly.