AI-Directed Software Engineer

EnvisionWare, Inc. • United States - Georgia, GA

3d • Remote

About The Position

The AI-Directed Software Engineer designs and delivers software across the full Cloud Nine stack — backend, frontend, native clients, and the infrastructure that runs them — by directing AI systems to do the bulk of the implementation work. You'll move ideas from concept to demo to production at high speed, decomposing problems into AI-executable tasks, steering and refining AI output, and owning the quality, performance, and customer impact of the result. This is a full-stack role with a DevOps component. You won't be specializing in one layer. You'll own features end-to-end — from the database schema, through the Java services, through the Angular or React UI, and out through the Kubernetes deployment that ships them. Operating in an AI-first environment, you'll push the organization from AI-assisted toward AI-delegated software delivery.

Requirements

• Strong software engineering fundamentals (APIs, distributed systems, debugging, data flows)
• Full-stack breadth — comfortable moving between backend services, UI, and deployment config in the same day
• Working familiarity with containers and Kubernetes (or willingness to ramp fast); can debug a failing pod, read a manifest, and ship a Helm change
• Demonstrated experience using AI coding tools (Claude Code, Cursor, Copilot, or similar) to ship real work
• Sharp eye for reviewing AI output — especially subtle correctness, security, or deployment issues
• Comfort in fast, ambiguous, rapidly changing environments
• Bias toward shipping working software over perfect design
• Systems thinking — understanding how components interact at scale
• Willingness to challenge both human and AI-generated assumptions
• Strong written communication — prompting is writing

Nice To Haves

• Experience with Java/Jersey, Angular or React, PostgreSQL, AWS, or retail/POS domain.

Responsibilities

• End-to-end delivery of features from concept → demo → production, across backend, frontend, and deployment
• Directing AI tools to generate code, APIs, UI, SQL, infra config, and workflows
• Decomposing product requirements into AI-executable tasks
• Validation, testing, and hardening of AI-generated output
• Kubernetes/Docker configuration and deployment of the services you build
• Throughput and cycle time across your assigned workstreams
• Continuous improvement of AI-driven development patterns, prompts, and tooling

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed