Jobs · Engineering

STAFF SOFTWARE ENGINEER (AI)

Ladders · United States · 1 mo ago
RemoteRemoteEngineering$120k–$190k/yrFull-time
For our client, we are seeking a STAFF SOFTWARE ENGINEER (AI) to join the team of a leader in the Retail & Consumer Goods space. This role will focus on building and maintaining software solutions that support value delivery across the organization, with an emphasis on AI-enabled engineering work. You will collaborate closely with cross-functional partners to align product goals, improve team productivity, and contribute to technical decisions that strengthen the broader engineering organization. The position also includes mentoring junior engineers and helping drive continuous learning and growth within the team. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $120,000 – $190,000 annually Responsibilities Develop, test, deploy, and maintain software with a focus on value delivery Proactively seek personal and team growth through different learning avenues Plan and align product goals by collaborating with cross-functional teams Support junior engineers through mentoring and technical discussions Field questions and provide solutions that enhance team productivity Qualifications 3-5 years of relevant work experience in software engineering Proficient in front-end technologies like HTML, CSS, and JavaScript/TypeScript frameworks Experienced in an object-oriented language, preferably Java In-depth knowledge of relational or NoSQL database technologies Strong skills in building unit and functional tests, performance tests, and debugging techniques Benefits Opportunity for professional growth and development within a collaborative team Exposure to diverse engineering challenges and advanced technologies No travel requirements, promoting a stable work-life balance Comfortable indoor working environment with minimal distractions Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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