Tech Lead

Job not on LinkedIn

🔥 33 minutes ago

💃 Latin America – Remote

💵 $3.5k - $4.5k / month

⏳ Contract/Temporary

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Enumerate

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1985

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 Private equity on 2021-07

Consulting • Logistics • Healthcare

Enumerate is a cloud-based community management software and services company that helps property managers and self-managed homeowner associations (HOAs) automate accounting, payments, reporting, resident engagement, and operations. Its suite includes accounting and bookkeeping, resident portals and communications, operations management, payment processing, and analytics — together designed to streamline administration, improve board and homeowner communication, and scale management across single or multiple communities. Enumerate also offers managed financial services (auditors, accountants, bookkeepers) and integrations to reduce administrative burden and increase efficiency.

📋 Description

• 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. • 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 while balancing experimentation with production readiness. • Review code, architecture, and technical decisions to maintain quality and velocity. • Partner 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. • Ensure features are production-grade, including monitoring, logging, and performance tracking. • Implement AI guardrails around 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. • 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.

🎯 Requirements

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

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