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Tech Lead

Latin America - Remote

The Tech Lead is responsible for translating product ideas and data science capabilities into production-ready AI solutions. This role partners closely with Product Management and the Data Science Leader to rapidly design, prototype, and ship AI-driven features that deliver measurable business value. This is a highly hands-on technical leadership role focused on speed, pragmatism, and production quality, balancing experimentation with scalable engineering practices. 

 This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment.

Key Responsibilities 

AI Solution Delivery & Architecture 

  • Lead the technical design and implementation of AI-powered product features from concept through production. 
  • Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration. 
  • Make pragmatic decisions to accelerate delivery while maintaining system integrity. 
  • Ensure AI solutions are secure, observable, scalable, and aligned with platform standards. 

Pod Leadership & Execution 

  • Act as the technical lead for a cross-functional AI Pod. 
  • Break down product requirements into executable technical workstreams and prototypes. 
  • Guide rapid iteration cycles, proofs-of-concept, and MVPs, balancing experimentation with production readiness. 
  • Review code, architecture, and technical decisions to maintain quality and velocity. 

Product & Data Collaboration 

  • Partner closely with Product Management to shape problem definitions, success metrics, and delivery plans. 
  • Collaborate with the Data Science Leader to integrate models, analytics, and data assets into product workflows. 
  • Translate data science outputs into consumable APIs, services, and product features. 
  • Provide technical feedback on feasibility, scope, and tradeoffs during product discovery. 

Operationalization & Quality 

  • Ensure features are production-grade, including monitoring, logging, and performance tracking. 
  • Implement guardrails around AI usage, including reliability, latency, cost controls, and failure modes. 
  • Support experimentation frameworks, A/B testing, and post-launch learning loops. 
  • Drive responsible AI practices, including explainability, bias awareness, and data privacy considerations. 

Technical Standards & Enablement 

  • Define and enforce lightweight engineering standards for AI-enabled systems. 
  • Promote reuse of components, prompts, pipelines, and services across AI initiatives. 
  • Mentor pod engineers on AI-adjacent system design and best practices. 
  • Contribute to internal documentation and shared AI patterns/playbooks. 

 

Required Qualifications 

  • BS or MS in Computer Science, Engineering, or related technical field. 
  • 5+ years of software engineering experience, including leading complex systems. 
  • Strong experience designing and building production APIs and backend services. 
  • Proficiency in Python and at least one backend language (e.g., Java, Node.js, Go). 
  • Experience with cloud-native architectures (AWS, GCP, or Azure). 
  • Solid understanding of data pipelines, model serving, and system observability. 
  • Ability to work closely with product teams in fast-moving, iterative environments. 

 

Preferred Qualifications 

  • Experience working in AI-first or data-driven product teams. 
  • Familiarity with modern LLM platforms, prompt engineering, and agent frameworks. 
  • Experience operationalizing ML models (model serving, monitoring, versioning). 
  • Exposure to experimentation platforms, feature flags, and A/B testing. 
  • Experience in Agile or product-led development environments. 

 

Total monthly compensation:

$3,300 - $4,000 USD

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