Applied AI Engineer (AI)

TL;DR

Applied AI Engineer (AI): Building and implementing AI-powered features for workflow automation tools with an accent on backend services, LLM API integration, and frontend components. Focus on designing production-ready solutions, improving observability and reliability, and collaborating with product and design teams.

Location: Remote-first across Europe (CET ±3 preferred)

Company

An innovative AI-first B2B SaaS company building workflow automation tools for operations and finance teams.

What you will do

• Build and ship AI-powered product features end-to-end.
• Design and implement backend services (Python / Node).
• Integrate and optimize LLM APIs and retrieval pipelines.
• Develop frontend components (React / TypeScript) for AI-driven workflows.
• Work with structured and unstructured data sources.
• Improve observability, reliability, and cost efficiency of AI usage.
• Collaborate closely with Product and Design on feature discovery.

Requirements

• 4+ years experience in software engineering (fullstack or backend-heavy).
• Strong skills in Python or Node.js.
• Experience integrating LLM APIs (OpenAI, Anthropic, etc.) in production.
• Solid frontend experience with React and TypeScript.
• Understanding of API design, system architecture, and scalability.
• Pragmatic mindset – able to balance experimentation with reliability.
• Fluent English.

Nice to have

• Experience with vector databases, RAG architectures, or workflow automation systems.

Culture & Benefits

• Fully remote work environment.
• Small, senior engineering team.
• 2–3 in-person company meetups per year.
• Opportunity to turn AI capabilities into reliable product features.
• Focus on workflow automation tools for operations and finance teams.

Hiring process

• Apply via hirify.global.
• Share a few lines about projects where you’ve built AI functionality into real products.