Junior Full Stack/AI Engineer

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.

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