Lead Software Engineer, AI

Job not on LinkedIn

🕒 October 6

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Penn Foster

WebsiteLinkedInAll Job Openings

201 - 500 employees

📚 Education

👥 B2C

🤝 B2B

Education • B2C • B2B

Penn Foster is an accredited, career-focused online education provider offering self-paced certificate, diploma, associate, bachelor's degree and high school programs. Its catalog covers vocational and professional areas including healthcare, veterinary technology, skilled trades (HVACR, electrical, plumbing), automotive repair, business, IT, criminal justice, design, hospitality, and more. Penn Foster serves individual learners (over 133,000 active students) with flexible, 24/7 online coursework and also provides employer-facing training solutions. The institution operates multiple schools/divisions and maintains accreditations such as DEAC and program-specific accreditations (for example, an AVMA-CVTEA-accredited veterinary technician program).

📋 Description

• Define technical strategy and architecture for AI-powered product experiences across the learner and content-authoring ecosystem • Design, build, and ship full-stack systems using TypeScript, Vue.js, Node.js, PostgreSQL, and Azure • Lead complex, cross-functional initiatives from problem definition through delivery, adoption, and ongoing improvement • Establish reusable patterns for retrieval-augmented generation, agentic workflows, model orchestration, prompt management, and human-in-the-loop experiences • Design and maintain evaluation frameworks, quality metrics, observability, and feedback loops for LLM-powered features • Integrate Anthropic, OpenAI, and other model APIs with attention to reliability, latency, token usage, cost, privacy, security, prompt-injection risk, and graceful degradation • Own technical direction for AI-powered content authoring and management capabilities • Partner with product, platform, design, data, and engineering teams to translate ambiguous problems into technical plans and shippable systems • Identify architectural risks, clarify tradeoffs, and balance speed, quality, maintainability, and long-term leverage • Raise engineering standards through design reviews, code reviews, technical documentation, operational standards, and development practices • Mentor and develop engineers in AI-assisted development, context engineering, evaluation design, system reliability, and agentic workflows • Use agentic coding tools such as Claude Code, Cursor, or equivalent for planning, implementation, testing, and review • Ensure systems are scalable, observable, secure, accessible, and economically sustainable in production • Contribute to engineering-wide discussions about responsible AI adoption, technical standards, platform capabilities, and organizational priorities

🎯 Requirements

• 10+ years of experience building and operating customer-facing software products • Demonstrated impact as a technical leader, staff engineer, principal engineer, tech lead, or equivalent • Strong full-stack engineering fundamentals, including browser technologies, TypeScript, Node.js, PostgreSQL, cloud infrastructure, and distributed systems • Experience designing and delivering AI-powered products using LLMs, retrieval systems, evaluation frameworks, agentic workflows, or related technologies • Track record of leading complex initiatives spanning multiple teams, systems, or organizational boundaries • Ability to set technical direction without formal authority and build alignment among stakeholders • Strong architectural judgment and ability to communicate complex tradeoffs clearly to technical and non-technical audiences • Experience creating durable engineering patterns, platforms, or capabilities • Product sensibility and focus on user experience, quality, speed, and measurable outcomes • Comfort working in ambiguous environments • High ownership mentality across strategy, architecture, implementation, and operational follow-through • Experience mentoring engineers and strengthening engineering practices • Commitment to reliable, secure, observable, and cost-effective AI systems • Ability to thrive in a remote, async-first environment • Experience working at a startup or organization with a high engineering bar • Must reside in and perform work within the United States • Willingness and ability to travel as needed • Employees are expected to be on camera during meetings unless extenuating circumstances apply • Successful completion of applicable pre-employment screening requirements • Completion of employment eligibility verification through Form I-9

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Flexible spending accounts • Generous paid time off • Sponsored volunteer opportunities • 401(k) with a company match • Free access to all Penn Foster Group online programs • Remote work arrangement • Occasional travel for team meetings, company events, conferences, and summits

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