AI Engineer / AI Solution Engineer

What We Are Looking For

CODEICX is looking for an AI Engineer / AI Solution Engineer with strong hands-on experience in Generative AI and AI application development to participate in an AI-driven intelligent engineering system for a leading industrial manufacturing client.

This role focuses on applying AI to real-world engineering workflows by integrating Generative AI, RAG, Domain Knowledge, engineering rules, equipment selection logic, and structured data.

We are looking for someone who can go beyond simply integrating an LLM or building a chatbot — someone who can understand business and engineering requirements, evaluate AI feasibility, build practical PoC/MVP solutions, and work closely with software engineers, project managers, architects, and domain experts.

If you are interested in applying AI to real industrial engineering problems and working at the intersection of AI and software engineering, this is an opportunity to participate in the development of an intelligent engineering system from its early-stage PoC/MVP through implementation.

Company & Project Overview

CODEICX is a software outsourcing and technology development company specializing in custom software development, AI solutions, and enterprise applications.

We are currently working with a leading industrial manufacturing client on an AI-driven intelligent engineering system.

The project aims to explore how Generative AI can be integrated with engineering domain knowledge, equipment selection logic, structured data, and engineering workflows to simplify and enhance traditional engineering processes.

The core technical challenge is to evaluate how AI can support the workflow from:

User Requirements → System Understanding → Engineering Judgment / Equipment Selection → Engineering Results.

The project will initially focus on validating the feasibility and value of an AI-driven MVP before gradually expanding into a broader Web-based engineering system.

Responsibilities

• Participate in AI PoC / MVP requirements analysis and technical solution design
• Develop LLM-based applications and AI workflows
• Design and implement RAG, Knowledge Base, Embedding, and Vector Search solutions
• Integrate enterprise data, engineering documents, and structured data
• Integrate domain knowledge with AI models and applications
• Analyze how AI can work together with deterministic engineering and business rules
• Develop approaches for AI output validation and evaluation
• Integrate AI services with Backend APIs and data services
• Evaluate Cloud and Local LLM solutions based on project requirements
• Conduct Prompt Engineering, Model Evaluation, and performance optimization
• Conduct technical research, prototyping, and feasibility validation
• Work closely with Backend Engineers, PMs, Solution Architects, and client-side Domain SMEs
• Help identify practical and achievable MVP approaches for applying AI to engineering workflows

Requirements

• 3 years of experience in AI / ML / Generative AI development
• Strong Python programming skills • Hands-on experience with LLM application development
• Practical experience with RAG, Vector Databases, and Embedding technologies
• Experience developing and integrating REST APIs • Hands-on experience with OpenAI, Azure OpenAI, Gemini, Claude, or other LLM APIs
• Ability to translate AI technologies into practical business or engineering workflows
• Strong problem-solving and analytical skills • Good communication and cross-functional collaboration skills
• Ability to independently conduct technical research, prototyping, and feasibility validation

Nice to Have

• Experience in CAD, Engineering, Manufacturing, or Electrical Engineering domains
• Experience with engineering rules or Rule-based Systems
• Experience with AI Agents / Agentic Workflows • Experience with Computer Vision or Document AI
• Experience with Graph / Knowledge Graph technologies
• Experience with DXF or CAD data processing
• Knowledge of CNS / IEC standards or electrical engineering
• Experience with engineering drawings, single-line diagrams, or engineering software
• Experience integrating AI with traditional deterministic systems

Why Join This Project?

• Work on a real-world AI × Engineering application rather than a generic chatbot project
• Participate in the early-stage PoC/MVP and help shape the AI solution
• Work directly with experienced software engineers, architects, PMs, and engineering domain experts
• Gain hands-on experience applying Generative AI and RAG to complex engineering workflows
• Opportunity to contribute to a project with potential for long-term development and expansion

Project Overview & Engagement

• Location & Mode: New Taipei City, Taiwan
• Engagement Type: Project-based / Short-term Contract / Part-time Consulting
• Expected Start Date: October 5, 2026
• Project Nature: AI × Engineering × Web System

How to Apply

Interested candidates are welcome to submit your CV and portfolio. We review applications on a rolling basis and will respond within 3 business days.