AI Integrations Engineer

Remote Full-time ZR_1398_JOB

Project overview

We are looking for an AI Integrator with a strong engineering background and hands-on experience in automation and integration tools (n8n, Zapier, Make, Airflow, etc.). The role involves designing, integrating, and optimizing AI-driven workflows, ensuring their seamless operation across various platforms. If you are an engineer who enjoys combining AI with smart automation – this role is for you.

Requirements

  • 3+ years of experience as a Software, Systems, or Integration Engineer
  • Proven expertise with n8n and similar tools (Zapier, Make, Airflow, etc.)
  • Strong programming skills in Python, JavaScript, or similar languages
  • Experience integrating AI models and platforms (OpenAI, Anthropic Claude, Google Gemini, Hugging Face, etc.)
  • Experience with vector databases (Pinecone, Weaviate, ChromaDB) for RAG pipelines
  • Familiarity with prompt engineering and optimization techniques
  • Experience working with APIs, data pipelines, and system integrations
  • Understanding of real-time data streaming (Kafka, Redis)
  • Experience with data transformation, cleaning, and preprocessing pipelines
  • Fast learner, comfortable with emerging AI technologies and frameworks
  • Knowledge of modern AI integration patterns, such as:
  • Function calling and tool usage
  • Agent-to-Agent communication (AtoA)
  • Model Context Protocol (MCP)
  • LangChain / LangGraph or similar orchestration frameworks
  • Proven experience implementing AI-driven solutions in production
  • Strong analytical, troubleshooting, and problem-solving skills
  • Upper-Intermediate English or higher

Nice to have

  • Hands-on experience with cloud environments (AWS, GCP, Azure)
  • Proficiency in Git and CI/CD workflows
  • Experience with AI agent frameworks (AutoGPT, CrewAI, LangChain Agents, etc.)
  • Background in MLOps or AIOps practices
  • Contributions to open-source AI or automation projects

Responsibilities

  • Design, build, and maintain AI-powered workflows using n8n and other automation tools
  • Integrate AI models, APIs, and third-party services into production systems
  • Implement advanced AI features such as function calling, agent orchestration, and multi-model workflows
  • Ensure system stability through robust error handling and fallback mechanisms
  • Optimize workflow performance, latency, and cost
  • Set up metrics and monitoring for workflow accuracy and performance
  • Collaborate with product and engineering teams to deliver scalable AI-driven solutions
  • Document integration pipelines, best practices, and conduct internal knowledge-sharing sessions
  • Continuously explore and adopt new AI tools and technologies to improve automation efficiency

We offer

  • 20 vacation days (workdays)
  • 7 sick days
  • Personalized career growth
  • Internal English classes
  • Education reimbursement
  • Corporate events and team buildings
  • Equipment provided
Apply now

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