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AIFT

AI Engineer, Virtual Insurance

AIFT

. Design, develop, and deploy AI-powered applications and services, focusing on Generative AI and Large Language Models .

Posted 9/23/2026full-timeTaiwanMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI-powered applications, particularly with Generative AI and Large Language Models. Proficient in backend development, API design, and integrating AI capabilities into business workflows.

Highest-signal resume keywords
Python ProgrammingGenerative AI Application DevelopmentLarge Language Model IntegrationAPI Design and DevelopmentCloud Platform Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringMachine Learning EngineeringAI EngineeringRAGPrompt EngineeringEmbeddingsVector DatabasesData ProcessingSystem IntegrationProduction-Grade Application Development
Soft Skills
Strong CommunicationCollaboration SkillsProblem-Solving
Tools & Technologies
AWSGCPAzureAPIsBackend Services
Industry Keywords
AI SolutionsAI Quality MonitoringBusiness WorkflowsTechnical Solutions

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • Design, develop, and deploy AI-powered applications and services, focusing on Generative AI and Large Language Models
  • Build AI solutions using RAG, prompt engineering, tool/function calling, agents, and structured outputs
  • Integrate LLMs and AI capabilities into existing products, internal platforms, and business workflows
  • Develop and maintain backend services, APIs, and data pipelines supporting AI applications in production
  • Evaluate and experiment with models, frameworks, and approaches to identify effective solutions
  • Build evaluation and monitoring mechanisms to improve AI quality, reliability, latency, and cost
  • Collaborate with Product, Engineering, Data, and business stakeholders to identify AI opportunities and translate business needs into technical solutions
  • Prototype AI ideas, validate feasibility, and turn successful prototypes into reliable production systems
  • Stay current with Generative AI developments and explore technologies that can create business impact

Requirements

What you’ll need
  • 3+ years of experience in software engineering, machine learning engineering, AI engineering, or a related field
  • Strong programming skills in Python and solid software engineering fundamentals
  • Hands-on experience building applications using LLMs or Generative AI
  • Experience working with commercial or open-source LLMs and related APIs/frameworks
  • Practical understanding of RAG, embeddings, vector databases, prompt engineering, and LLM application architecture
  • Experience designing and developing APIs, backend services, or production-grade applications
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Good understanding of databases, data processing, and system integration
  • Ability to independently explore ambiguous problems, experiment quickly, and turn ideas into working solutions
  • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams