Junior Full Stack/AI Engineer

Role: Junior Full Stack/AI Engineer
Salary: $3500 - $5000/monthly
Schedule: Monday - Friday, EST/CST
Location: LatAm / Remote

About the Role

Our client is seeking a Junior Full Stack Developer to support AI-enabled platform development initiatives. This role is ideal for a high-potential candidate with strong technical skills, exceptional learning agility, and a passion for building innovative solutions.

The candidate will work directly with the Managing Director on customer implementations, platform development, and AI integration projects. This is not a traditional junior role—we are looking for someone who is hungry to be challenged, works independently, and is eager to grow rapidly into a senior contributor.

Role Overview

Primary Responsibilities:

• Build and enhance platforms (BDT, Financial Operations, Airiam Operations)

• Work directly with customers on automation solutions, integrations, and configurations

• Design and implement workflow automations (n8n, Make, Automation Anywhere)

• Apply AI capabilities including LLM integration, prompt engineering, and agentic workflows

• Maintain technical documentation, process guides, and knowledge base articles

• Manage deployments, CI/CD pipelines, and infrastructure

Required Skills & Qualifications

Core Technical Skills

• Programming Languages: Python, JavaScript/TypeScript – backend services, automation scripts, API development

• Additional Languages (Preferred): Java – enterprise integrations, certain customer environments

• Database: SQL (PostgreSQL preferred) – data modeling, queries, migrations, performance

• Frontend: React, HTML/CSS, Tailwind – platform UIs, dashboards, customer-facing applications

• Version Control: Git, GitHub – code management, PRs, branching strategies

• CI/CD: GitHub Actions, Azure DevOps – automated builds, testing, deployments

• Cloud Platform: Azure (Container Apps, PostgreSQL) – platform hosting, managed services

• Automation Platforms: n8n, Make, Automation Anywhere, or similar – workflow automation, integrations

• APIs: REST, OAuth 2.0, Webhooks – ERP integrations, third-party services

Additional Technical Skills (Preferred)

• Containerization: Docker, container orchestration concepts

• AI/ML Fundamentals: LLM APIs, prompt engineering, vector databases, RAG architectures

• Message Queues: Redis, BullMQ, or similar job queue systems

• Testing: Unit testing, integration testing, test automation

• ERP Systems: QuickBooks, NetSuite, or similar accounting system APIs

Critical Attributes & Soft Skills

Mindset & Work Style:

• Hungry to Learn: Actively experiments, stays current, views every task as a learning opportunity

• Self-Directed: Owns tasks from start to finish, researches solutions independently

• Knows When to Escalate: Recognizes blockers and asks for help appropriately

• Loves the Work: Enjoys building software and solving problems

• Wants to Be Challenged: Embraces stretch assignments and ambiguity

• Growth Mindset: Seeks feedback, learns from mistakes, aspires to senior roles

Professional Skills:

• Documentation: Clear, comprehensive, proactive

• Process Adherence: Follows coding, PR, and deployment standards

• Customer Communication: Translates technical concepts clearly

• Written Communication: Effective commit messages, PRs, documentation

• Problem Solving: Methodical, research-driven, systematic debugging

Expected Contribution

Initial Focus (First Week):

• Onboarding & learning platforms, codebase, deployments, and documentation

• Contributing bug fixes and small feature enhancements on BDT Platform

• Building customer automation workflows

• Improving documentation

Ongoing Contributions:

• Deliver features for Financial Operations Platform (AR/AP modules)

• Lead customer implementation projects

• Build and maintain integrations (QuickBooks, NetSuite, third-party APIs)

• Develop AI-powered features leveraging LLMs

• Contribute to Airiam Operations platform development

Capacity Impact:

• Accelerates delivery across multiple initiatives

• Improves response time to customer needs

• Frees senior capacity for strategy and architecture

• Builds internal talent bench

• Reduces key-person risk

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