[Hiring] Tech Lead @Enumerate

Role Description

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.

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.

Benefits

• Total monthly compensation: $3,500 — $4,500 USD