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Committedstaff
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Help build and scale software products across a venture studio portfolio by designing,
orchestrating, and supervising AI-powered development systems — not by manually writing
Remote · Latin America Preferred Full-Time, Dedicated
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
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.
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,
L OC AT ION C OMMIT ME N T C OMPA N Y Remote, LatAm
Orchestrate multiple coding agents across
modules, APIs, integrations, and application
Review and validate AI-generated code for
Monitor applications and create automated
processes for detecting and resolving errors
performance optimization, and application
routing, and agent infrastructure efficiently
Help establish best practices for a growing
Assist with the evaluation and future hiring
Strong full-stack development experience Strong understanding of relational database
Experience with PostgreSQL and platforms
such as Neon or Supabase (our initial database
stack) Solid understanding of CI/CD workflows Experience deploying applications through
modules, APIs, functions, and user interfaces
Familiarity with AWS services such as S3, EC2,
Experience with GitHub-based development
Ability to develop and manage applications in
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)
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,
implementation, review, debugging, and testing
AI-generated technical specifications and PRDs
Cursor or comparable AI-native development
Basic usage of GitHub Copilot alone will not satisfy this requirement.
Preferred ExperienceSentry or comparable application-monitoring tools
Agent infrastructure running across multiple machines or virtual environments
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
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
Manages agents like a team: You can manage a team of agents as effectively as a traditional
Owns outcomes: You take ownership of outcomes rather than only completing
assigned tasks, and you're comfortable operating in a fast-moving
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.
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
Qualified candidates may be asked to complete a practical, reasonably scoped technical
The assessment may evaluate the candidate's ability to:
Configure and orchestrate multiple coding agents
Design an appropriate relational database structure
Explain model selection, token usage, and cost-management decisions
Originally posted on Himalayas
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