Senior Full-Stack Engineer — AI Platform

About the Role

A well-funded, seed-stage AI coaching platform is looking for a Senior Full-Stack Engineer to lead the design, development, and scaling of its AI-driven coaching infrastructure. You'll work at the intersection of LLM systems, real-time conversational interfaces, and platform reliability — helping deliver personalized coaching experiences to enterprise customers at scale. This is a fully remote, global role open to candidates in LATAM and Europe.

What You'll Do

• LLM Inference Optimization: Architect and optimize inference pipelines using frontier models (Anthropic, OpenAI). Implement caching strategies, prompt engineering improvements, request batching, model routing, and cost-efficiency mechanisms.
• Observability & Monitoring: Design comprehensive observability systems covering latency tracking, token usage, cost attribution, error rates, and quality drift detection. Build dashboards and alerting using tools such as AWS CloudWatch, Sentry, Datadog, Prometheus, or Grafana.
• Recommendation Systems: Build and optimize recommendation algorithms using ML techniques and LLMs to deliver personalized coaching content and insights.
• Conversational Interfaces: Lead development of real-time, low-latency conversational UIs using streaming technologies (SSE, WebSockets).
• Frontend Architecture: Drive development of responsive, performant web applications in Next.js and React, with strong state management and real-time data sync.
• Backend & API Development: Design scalable RESTful APIs, microservices, and event-driven systems in Node.js and Python for high-throughput AI feature delivery.
• Platform Reliability: Maintain monitoring systems, build proactive alerting, and lead incident response workflows to ensure high availability.
• Security & Compliance: Partner with compliance teams to implement and audit features aligned with SOC 2, ISO 27001, and ISO 27018 standards. Champion secure coding practices across AI and user data pipelines.

What We're Looking For

• 5+ years of full-stack software engineering experience (required)
• Hands-on experience with Node.js, Next.js, React, and Python (required)
• Practical experience building and operating LLM-powered features (Anthropic, OpenAI, or similar)
• Experience with AWS cloud infrastructure (required)
• Strong understanding of streaming architectures — SSE, WebSockets, real-time data flows
• Demonstrated experience with observability tooling (Datadog, Prometheus, Grafana, Sentry, CloudWatch, or equivalent)
• Familiarity with security and compliance frameworks (SOC 2, ISO 27001/27018)
• Ability to collaborate cross-functionally with product, ML, and engineering teams
• No visa sponsorship available — must be independently authorized to work

Nice to have:

• Experience at an AI-driven SaaS or enterprise coaching/HR-tech company
• Background in recommendation systems or personalization at scale
• Prior work in event-driven microservices architectures

Compensation & Benefits

• Salary range: $40,000 – $84,000 USD per year
• Fully remote position with flexible working arrangements
• Opportunity to work on cutting-edge AI/LLM systems with real enterprise impact

Location

Fully remote — open to candidates based in LATAM (Brazil, Argentina, Peru, Honduras, and surrounding regions) and Europe. No visa sponsorship is available.