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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