Full-Stack Engineer - A285 job opportunity at Pearl Talent.

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Date2026-02-05T19:14:10.479Z bot
Pearl Talent Full-Stack Engineer - A285
Experience: 3-years
Pattern: Full-time
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degreeHigh School (S.S.C.E)
Mexico

Industry SaaS / AI / Voice Technology Work Arrangement Remote (EST) Job Type Full-time Work Schedule Standard business hours - US Eastern Time (EST) Locations: Anywhere Remote About Pearl Talent Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US. Hear why we exist, what we believe in, and who we’re building for: WATCH HERE Why Work with Us? At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers. About the Company Our client is building an AI-powered voice receptionist platform for real-world B2B operations. The product manages inbound calls, booking workflows, pricing rules, and payments for service-based businesses. Currently in pilot phase, the platform is preparing for broader rollout. The engineering team is intentionally small, senior-leaning, and values execution quality, ownership, and practical problem-solving over heavy process. Role Overview We are looking for a hands-on Full-Stack Engineer to translate loosely defined product requirements into production-ready features. You will work closely with the CTO and a small engineering team to improve platform reliability, execution velocity, and code quality. This role is ideal for candidates who thrive in ambiguous, fast-paced environments, enjoy ownership, and take pride in shipping features that customers actively use. The work is cross-functional, execution-heavy, and requires strong problem-solving and practical implementation skills. Your Impact Deliver high-quality features from concept to production with minimal oversight. Contribute directly to platform stability, reducing issues in active customer pilots. Improve overall code quality, maintainability, and execution efficiency. Support real customer workflows by integrating AI and voice logic reliably. Enhance operational processes and backend/frontend integration across the platform. Core Responsibilities Engineering Execution & Ownership – 40% Translate high-level product requirements into technical designs and actionable Jira tickets. Own features end-to-end, delivering clean, maintainable production code. Review pull requests and enforce high code quality standards. Document technical decisions and communicate trade-offs clearly. Backend-Focused Full-Stack Development – 30% Build and maintain backend services using Python and modern frameworks (FastAPI-style). Design and evolve relational database schemas and migrations. Contribute to internal frontend features using React / Next.js as needed. AI & Voice Workflow Integration – 20% Implement real customer workflows using AI and voice tools. Connect LLM behavior, prompts, and tool logic to application code. Focus on reliability, correctness, and production-ready implementation rather than experimental research. Infrastructure & Integrations – 5% Support application deployment and operational reliability. Contribute incremental improvements to existing infrastructure (e.g., Vercel). Integrate and maintain third-party services such as voice providers and payment systems. Pilot Support & Stabilization – 5% Triage issues from active customer pilots. Identify whether issues stem from product gaps or engineering defects. Stabilize pilot workflows while the core platform continues evolving. Must-Haves (Required) 3+ years of professional software engineering experience. Proven ability to own ambiguous problems and deliver production-ready solutions. Experience shipping and maintaining live production systems. Strong proficiency in Python and modern backend frameworks (e.g., FastAPI). Experience with relational databases and schema evolution. Knowledge of modern frontend frameworks (React or similar). Excellent written communication and ability to document decisions clearly. High learning agility with an execution-oriented mindset. Nice-to-Haves (Preferred) Experience supporting early-stage products or live customer pilots. Familiarity with cloud infrastructure (AWS or similar). Exposure to LLM-powered features, AI agents, or voice-based applications. Experience integrating with third-party or enterprise systems. Tools Proficiency Must-Haves (Required) Python, FastAPI, React, Next.js, Jira Nice-to-Haves (Preferred) AWS, Vercel, AI/voice tooling, relational databases, Git

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