Tech Lead - AI & Automation

$3,300 - $4,000/mo

AI Automation AI Workflow Design (using GPTs / LLMs) Automation Architecture & Maintenance A/B Test and Analytics Integration OpenAI API Claude API Langchain LlamaIndex

Enumerate

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Role Overview

The Tech Lead for the AI Pod 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. You'll act as the technical lead for a cross-functional AI Pod, guiding rapid iteration cycles and ensuring AI solutions are secure, observable, and scalable.

This remote opportunity is ideal for contractors located in LATAM who are comfortable working in an English-speaking professional environment and want to drive AI innovation in a fast-moving product environment.

Responsibilities

Lead 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
Act as technical lead for a cross-functional AI Pod and break down product requirements into executable technical workstreams
Guide rapid iteration cycles, proofs-of-concept, and MVPs while balancing experimentation with production readiness
Partner with Product Management to shape problem definitions, success metrics, and delivery plans
Collaborate with Data Science Leader to integrate models, analytics, and data assets into product workflows
Ensure AI features are production-grade with monitoring, logging, and performance tracking
Implement guardrails around AI usage including reliability, latency, cost controls, and failure modes
Define and enforce lightweight engineering standards for AI-enabled systems
Mentor pod engineers on AI-adjacent system design and best practices

Requirements

BS or MS in Computer Science, Engineering, or related technical field
8+ years of software engineering experience, including leading complex systems
Strong experience designing and building production APIs and backend services
Hands-on experience integrating ML models or LLMs into production systems
Proficiency in Python and at least one backend language (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

Nice to Have

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 & Perks

Remote work opportunity
Total monthly compensation: $3,300—$4,000 USD

About the Company

Enumerate is a company focused on AI innovation and data-driven product development. They operate with cross-functional AI Pods and emphasize rapid delivery of AI-powered features that deliver measurable business value.