Product Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Engineer (AI): Designing and delivering end-to-end AI-powered applications from prototype to production with an accent on full-stack development and applied AI integration. Focus on building scalable APIs, optimizing prompting strategies, and creating reliable AI pipelines to improve product intelligence.
Location: Remote (Must be based in Brazil)
Salary: $115,000 – $185,000 annually
Company
An innovation-driven product company specializing in cutting-edge AI-native solutions.
What you will do
- Design and ship full-stack applications end-to-end, covering frontend, backend, and cloud infrastructure.
- Develop scalable APIs and backend services while integrating AI models into production-grade experiences.
- Build and maintain AI pipelines, including data ingestion, embeddings, and retrieval systems.
- Engineer and optimize prompting strategies and AI guardrails for latency, cost, and accuracy.
- Collaborate with designers and product managers to deliver polished and impactful user experiences.
- Continuously evaluate and adopt emerging AI tools, frameworks, and models to enhance product capabilities.
Requirements
- 7+ years of professional software engineering experience with a strong focus on full-stack development.
- Must be based in Brazil.
- Hands-on experience with LLM APIs (OpenAI, Anthropic), vector databases, and AI orchestration frameworks.
- Expertise in React, Next.js, Node.js (NestJS/Fastify), and Python (FastAPI).
- Strong understanding of system design, scalability, performance optimization, and cloud environments.
- Proficiency in CI/CD, testing, code quality, and observability practices.
Culture & Benefits
- Competitive annual salary and equity participation in client projects and internal ventures.
- Opportunity to work on high-impact, cutting-edge AI-native products.
- High level of ownership and autonomy in product and engineering decisions.
- Flexible, remote-friendly work environment with collaboration across global teams.
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