AI-Directed Software Engineer

🕒 June 24

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EnvisionWare, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1998

📚 Education

☁️ SaaS

🔧 Hardware

Education • SaaS • Hardware

EnvisionWare, Inc. is a provider of integrated self-service solutions and management systems for public libraries and similar institutions. The company supplies both software (e. g. , OneStop self-service software, analytics, computer and reservation management, eCommerce/payment services) and hardware (e. g. , 24-hour library kiosks, automated material handling, holds lockers, self-service checkout stations, RFID systems, print/copy/scan/payment terminals) to automate circulation, payments, printing, and other library workflows, helping libraries extend access, reduce staff workload, and offer 24/7 services.

📋 Description

• 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

🎯 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

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development