AI Integration Engineer

Overview of the Role

The AI Integration Engineer is responsible for integrating data from multiple sources, automating workflows, and developing AI-driven solutions using Python, Google Cloud, and modern LLM technologies. The role focuses on preparing organizational data for AI applications, building backend services when needed, and enabling future RAG and agentic capabilities.

Main duties include:

• AI and Data Integration
• Build ingestion pipelines from various data sources
• Clean and transform data using Python and Pandas
• Normalize structured and unstructured data for AI use
• Implement vector indexing and similarity search using OpenAI, Vertex AI, or other embedding models

• Cloud Automation
• Implement workflows using Cloud Functions, Cloud Run, Cloud Scheduler, and Pub/Sub
• Manage data storage and retrieval through BigQuery and Cloud Storage
• Configure service accounts, IAM roles, and environment variables

• Backend Engineering
• Develop and maintain internal services and APIs
• Integrate backend functions with AI models and automation workflows
• Implement authentication using OAuth2, JWT, or Google Identity

• AI Search and RAG Foundations
• Build semantic search layers across company data
• Prepare pipelines for Retrieval-Augmented Generation
• Assist in prototyping agentic workflows, such as document processors and AI assistants

• Documentation and Code Quality
• Write clean and maintainable code
• Maintain documentation for pipelines, APIs, and automation workflows
• Implement basic testing for reliability

Requirements:
• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years in a technical role involving backend, data engineering, automation, or AI
• Strong Python skills, including Pandas
• Experience with Google Cloud Platform
• Experience integrating data from APIs, files, documents, and other data sources
• Solid understanding of SQL and cloud data warehouses such as BigQuery
• Familiarity with LLM APIs such as OpenAI or Vertex AI
• Experience with FastAPI, Flask, or Node.js
• Knowledge of vector databases and semantic search
• Familiarity with Git, CI/CD, and Docker
• Understanding of agentic workflows or orchestration tools
• Strong problem-solving skills
• Ability to work independently and learn quickly
• Effective communication and collaboration

Benefits:
• 500K per incident HMO coverage + Dental & Optical Benefits
• 2 weeks of Christmas vacation
• Fixed Schedule of Mon-Fri from 7 AM to 4 PM
• Solid professional & development training programs
• 25K Educational Assistance
• Referral bonuses