Applied AI Engineer at Morningside Group

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Full-stack development, LLM integration, OpenAI, Anthropic, RAG, Embeddings, Computer vision, Machine learning, Data pipelines, High-performance scraping, Prompting, Vibe coding, System architecture, API development, Cloud deployment

Industry

Professional Services

Description

Applied AI Engineer Who We Are Morningside AI builds and implements AI for companies that can't afford to get it wrong. Fortune 500s, NBA teams, major media groups - they come to us because we actually ship, not just strategize. We started as a development studio. Now we're a full transformation partner: development, consulting, education. Whatever the problem requires. We've spent the last two and a half years figuring out what actually works when you put AI into production - not theory, not demos, real systems that run real businesses. We're headquartered in New Zealand with team members working remotely across the world. Morningside AI Is Not a Typical Development Agency. We Believe... Perfection is a trap. We build, deploy, learn, and improve. If you need six months of planning before you can start, this isn't the place. No layers of approval, no death by meeting, no waiting for permission. You own your work from day one, which means real accountability too. No politics, no sugar-coating, no guessing games. We give direct feedback and we expect the same. Problems get named so they can get fixed. We use AI to build AI. If you're still writing every line by hand, you're already behind. We use every tool available to move faster than teams twice our size. We don't care when you're online. We care about what you ship. We're Looking For People Who Want To... Build AI-powered products across a wide range of clients and industries — conversational AI, computer vision, machine learning, generative AI, data pipelines, and high-performance scraping systems. These aren't POCs that gather dust. They go into production and get used by real users. Often multiple of these disciplines show up in the same project. You will own features end-to-end. Frontend to backend to LLM integration to deployment. Some projects need someone to architect systems and lead technical decisions. Others need someone to take a spec and ship it fast. We're hiring for both. Must Haves You work across the entire stack - backends, frontends, databases, APIs, deployment You've shipped with OpenAI, Anthropic, or similar. You understand prompting, RAG, embeddings, and when to use what. Or you can prove you'll pick it up fast. You use AI to multiply your output, including vibe coding. Cursor, Copilot, Claude, custom scripts - whatever gives you leverage. Engineers who type every line by hand can't keep up. You take a problem and deliver a solution. You ask the right questions, make sensible tradeoffs, and ship without constant direction. You explain technical decisions to non-technical clients. You flag blockers early. You give and receive direct feedback without drama. Nice To Haves Computer vision experience. We have a growing number of CV projects and candidates with this background will stand out. Machine learning and AI experience beyond standard LLM integration. Data science or data analytics background. Enterprise security knowledge (VPC, RBAC, HIPAA) or prior experience working with enterprise clients and their constraints. Consulting or agency background. Compensation + Benefits We're looking for the top 1% of developers, and we pay accordingly. If you're exceptional, we'll make it work. Remote, EU preferred with US timezone overlap. Base salary plus quarterly performance bonus tied to delivery. Location Warsaw (Remote) Department Morningside AI Employment Type Contractor Minimum Experience Experienced

Responsibilities

You will build and deploy end-to-end AI-powered products across various industries, managing everything from frontend and backend to LLM integration. You are expected to own features, make technical architectural decisions, and ship production-ready systems for enterprise clients.