Sr. Product Engineer

About This Opportunity

We are representing a confidential SaaS organization seeking a Sr. Product Engineer to join their AI-powered product team. This is a fully remote role open to candidates based in the USA.

Our client is building AI-driven customer experience tools used by thousands of organizations worldwide. This role sits on the team responsible for shipping production-grade AI features—assistive experiences powered by large language models that must be fast, trustworthy, and genuinely useful in front of real users.

You'll be a full-stack product engineer with strong frontend expertise, building features end-to-end: from retrieval pipelines and agentic workflows through to polished, accessible user interfaces. This means owning both the LLM-backed plumbing and the customer-facing experience.

Responsibilities

• Ship customer-facing AI features across the full stack. Build LLM-backed flows including retrieval (RAG), embeddings, and agentic tool-calling, then deliver fast, accessible, well-crafted UIs. Your strength leans frontend, but you take initiative across every layer.
• Ensure AI quality and production readiness. Build evaluations, guardrails, and monitoring into AI features so quality is measurable. Design systems that degrade gracefully when models or providers misbehave.
• Sweat the front-end craft. The interface is where AI earns or loses customer trust. You care about responsiveness, streaming/loading states, accessibility, and the details that make features feel reliable.
• Stay close to customers. Join customer calls when context is needed, participate in support escalation rotation, and watch session recordings on your features. Bring that signal back into the work.
• Own outcomes, not just output. Before projects start, agree on outcome metrics with your PM. Instrument them, watch dashboards post-launch, and decide what to do next based on what moved.
• Co-author solutions. Bring engineering judgment and craft to product thinking. The best work happens when engineers, designers, and PMs support each other.
• Build in reliability from the start. Automation, monitoring, alerting, and logging aren't afterthoughts—they're part of how you ship. Own production readiness throughout the lifecycle.
• Use AI coding tools fluently. Leverage tools like Cursor and Claude Code daily as part of your craft. Help shape the team's AI workflow.
• Support hiring efforts. Partner with our talent team to interview future teammates.

What We're Looking For

Required:

• Strong full-stack capability with a frontend center of gravity—substantial JavaScript/TypeScript and React experience with real front-end craft
• Experience building production LLM features (not just prototypes): retrieval (RAG), embeddings, prompt engineering, and agentic/tool-calling patterns
• High bar for AI quality: you think in terms of evaluation, verification, and guardrails; you measure whether features work rather than assuming they do
• Fluency with AI coding tools (Cursor, Claude Code, or similar) as part of your daily workflow
• Customer-focused mindset: you actively seek customer signal to stay connected to whether your work solves real problems
• Outcome ownership: you measure work by results and are comfortable saying "this didn't move what we hoped, here's what we want to try next"
• Full lifecycle ownership: automation, reliability, resilience, monitoring, alerting, and logging built in from the start
• Clear written and verbal communication skills; comfort with remote-first collaboration and code review as teaching/learning opportunities

Nice to Have:

• Experience making LLM features production-grade: latency/cost tuning, fallbacks and circuit breakers across providers, moderation/safety, handling sensitive data
• Familiarity with evaluation/observability tooling for AI (LLM-as-judge, test sets, tracing) and building representative eval sets
• Design sensibility—comfort partnering closely with designers and elevating interface craft
• Experience in customer support, productivity, or trust-critical tools

Tech Stack: Kotlin, Java, TypeScript, React, PHP, Elasticsearch, ClickHouse, Kafka, Flink, RabbitMQ, MySQL, PostgreSQL, vector search, LLM tooling, AWS ecosystem

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screen to understand your background and ensure alignment with the role requirements. If there's a strong match, we'll submit your profile to our client for consideration and coordinate next steps in their interview process.

Please do not contact the client directly. All communication and coordination will flow through Get A Job.ai to ensure a smooth, professional process for everyone involved.

This is a fully remote, full-time position open to candidates based in the USA. Our client does not sponsor visas; you must already be authorized to work in the United States.

Pay

Compensation details will be discussed during the screening process and are competitive with senior product engineering roles at well-funded SaaS companies.

Get A Job.ai is an equal opportunity recruiter. We work with clients and candidates without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.