[Hiring] Applied AI Engineer @Morningside Group

Role Description

As an Applied AI Engineer at Morningside AI, you will:

• Build AI-powered products across various clients and industries, including conversational AI, computer vision, machine learning, generative AI, data pipelines, and high-performance scraping systems.
• Own features end-to-end, from frontend to backend to LLM integration to deployment.
• Architect systems and lead technical decisions or take a spec and ship it fast, depending on project needs.

Qualifications

• Experience working across the entire stack - backends, frontends, databases, APIs, deployment.
• Shipped with OpenAI, Anthropic, or similar, with understanding of prompting, RAG, embeddings, and their appropriate use.
• Utilize AI tools to enhance output, including vibe coding with tools like Cursor, Copilot, Claude, or custom scripts.
• Ability to take a problem, deliver a solution, ask the right questions, make sensible tradeoffs, and ship without constant direction.
• Explain technical decisions to non-technical clients, flag blockers early, and give and receive direct feedback without drama.

Requirements

• Computer vision experience is a plus, as there are growing CV projects.
• Experience in machine learning and AI beyond standard LLM integration.
• Background in data science or data analytics.
• Knowledge of enterprise security (VPC, RBAC, HIPAA) or prior experience working with enterprise clients.
• Consulting or agency background is advantageous.

Benefits

• Competitive compensation for the top 1% of developers, with flexibility for exceptional candidates.
• Remote work, preferably in the EU with US timezone overlap.
• Base salary plus quarterly performance bonus tied to delivery.

Company Description

Morningside AI builds and implements AI for companies that can't afford to get it wrong, including Fortune 500s, NBA teams, and major media groups. We focus on real systems that run real businesses, not just theory or demos. Our team operates remotely across the world, headquartered in New Zealand.

We believe in:

• Building, deploying, learning, and improving without getting trapped in perfection.
• Owning your work from day one, fostering real accountability.
• Direct feedback and problem-solving without politics or sugar-coating.
• Using AI to build AI, leveraging tools to move faster than larger teams.
• Focusing on what you ship rather than when you're online.