The posting
Full-Stack Engineer — Agentic-First
Help build and scale software products across a venture studio portfolio by designing,
orchestrating, and supervising AI-powered development systems — not by manually writing
code all day.
Remote · Latin America Preferred Full-Time, Dedicated
ABOUT THE ROLE
We are looking for a high-caliber, agentic-first Full-Stack Engineer to help build and scale
software products across our venture studio portfolio — KD Ventures. This is not a
traditional role focused on manually writing code throughout the day.
We want an engineer who knows how to design, orchestrate, supervise, and
improve AI-powered development systems.
The ideal candidate will use agentic frameworks to manage multiple coding agents, define
technical specifications, delegate implementation work, review output, detect issues, and
maintain the infrastructure needed to deliver reliable software quickly.
Initial Focus: EQIQ
The initial focus will include EQIQ, a data-driven platform for the equine industry that will
create a comprehensive record of a horse's history, care, transactions, performance,
ownership, and valuation.
WORK SETUP
How You'll Work
L OC AT ION C OMMIT ME N T C OMPA N Y Remote, LatAm
Preferred
Full-Time, Dedicated KD Ventures
DAY-TO-DAY
Key Responsibilities
Design & Orchestrate
Design and manage AI-powered software
development workflows
Orchestrate multiple coding agents across
local and cloud environments
Translate product requirements into
technical specifications, implementation
plans, and development tasks
Configure agents to build separate
modules, APIs, integrations, and application
components
Review & Quality Control
Review and validate AI-generated code for
quality, security, maintainability, and
performance
Implement automated testing for modules,
functions, APIs, and user flows
Prevent regressions through unit,
integration, and end-to-end testing
Monitor applications and create automated
processes for detecting and resolving errors
Infrastructure & Data
Build and maintain CI/CD pipelines using
GitHub and cloud deployment platforms
Design scalable relational database
structures
Support deployment, observability,
performance optimization, and application
scaling
Collaboration & Growth
Manage token usage, model selection,
routing, and agent infrastructure efficiently
Collaborate directly with company
leadership to turn business requirements
into working products
Help establish best practices for a growing
agentic software engineering team
Assist with the evaluation and future hiring
of additional developers
WHAT WE'RE LOOKING FOR
Required Technical Skills
Strong full-stack development experience Strong understanding of relational database
design
Advanced knowledge of Node.js, React,
Next.js, and TypeScript
Experience with PostgreSQL and platforms
such as Neon or Supabase (our initial database
stack) Solid understanding of CI/CD workflows Experience deploying applications through
Vercel or similar platforms
Experience creating automated tests for
modules, APIs, functions, and user interfaces
Familiarity with AWS services such as S3, EC2,
and RDS
Experience with GitHub-based development
and deployment
Ability to develop and manage applications in
local and cloud environments
Strong understanding of debugging,
observability, and regression prevention
Ability to build secure, scalable, and
maintainable systems
DATA & CLOUD STACK
Where We Run Today — and Where We're Headed
Relational Database Neon (Initial) Supabase (Initial) PostgreSQL
AWS (S3 / EC2 / RDS) Azure (Down the Road) Amazon — Expanded Use (Down the Road)
NON-NEGOTIABLE
Agentic AI Experience
Candidates must have practical experience using AI as a core part of the software
development process. We are specifically looking for experience with:
Claude Code Agent orchestration and delegation Automated code review and testing Development harnesses such as GStack,
OpenClaw, Hermes, or similar frameworks
Using different models for planning,
implementation, review, debugging, and testing
Multi-agent development workflows
AI-generated technical specifications and PRDs
Token and model-cost optimization
Cursor or comparable AI-native development
environments
Basic usage of GitHub Copilot alone will not satisfy this requirement.
A STRONG PLUS
Preferred ExperienceSentry or comparable application-monitoring tools
Automated browser testing
Agent infrastructure running across multiple machines or virtual environments
Payment-processing integrations
Data and analytics platforms
Blockchain integrations, particularly Ethereum-compatible networks such as Base
SOC 2 or HIPAA-conscious application architecture
Experience building data-intensive marketplaces or transactional platforms
Experience developing products from initial MVP through production scale
PROFILE
Candidate Profile
Thinks like a lead, not a coder: You think like a technical lead, systems architect, and engineering
manager — not just someone executing tickets.
Knows when to step in: You know when AI-generated output is correct and when it requires
intervention.
Manages agents like a team: You can manage a team of agents as effectively as a traditional
engineering lead manages developers.
Owns outcomes: You take ownership of outcomes rather than only completing
assigned tasks, and you're comfortable operating in a fast-moving
venture studio.
Growth-minded: You're interested in growing with the company and eventually
helping build a larger engineering team, motivated by high
expectations and performance-based incentives.
Communicates fluently: Excellent spoken and written English, with the ability to
communicate directly and fluently with U.S.-based leadership.
COLLABORATION
Working RelationshipThis is a full-time, dedicated role. The selected engineer will work exclusively with our
business and will not be divided among unrelated client projects.
We care deeply about creating a strong working environment, treating team
members well, and providing opportunities for growth.
At the same time, we expect discipline, ownership, excellent communication, and
consistently high performance. Performance bonuses may be available for exceptional
results.
SELECTION PROCESS
Evaluation Process
Qualified candidates may be asked to complete a practical, reasonably scoped technical
assessment based on a PRD.
The assessment may evaluate the candidate's ability to:
Create an agentic implementation plan
Configure and orchestrate multiple coding agents
Design an appropriate relational database structure
Establish a CI/CD workflow
Produce tested, maintainable code
Detect and correct errors
Explain model selection, token usage, and cost-management decisions
