Generative AI Engineer: Backend, LLMs & API Dev

PT Asix Indonesia Cerdas; Jakarta Pusat; On-site; IDR 420,000,000 - 660,000,000; Full time

Job summary

PT Integra Putra Mandiri is seeking an AI Engineer to build, integrate and maintain AI-powered solutions and reusable AI platform capabilities. You will translate business needs into practical AI applications, from model integration and APIs to testing, deployment and continuous improvement.

Responsibilities include AI application development, model integration, backend and API development, testing, deployment, and cross-team collaboration with developers, IT, and stakeholders to deliver robust

Qualifications

• Strong Python skills and experience building backend applications.
• Hands-on experience building and deploying Generative AI and LLM-powered applications.
• Experience integrating AI models through APIs, SDKs and third-party AI services.
• Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings and vector databases.
• Experience with backend frameworks such as FastAPI, Flask or Django.
• Familiarity with databases, cloud platforms, Docker and application deployment.
• Understanding of software engineering practices, version control, testing and CI/CD pipelines.

Responsibilities

• AI application development: Design, build and maintain AI-powered applications.
• Model integration: Integrate AI models via APIs/SDKs and manage prompt engineering workflows.
• Backend and API development: Build REST APIs to support AI features.
• Testing and debugging: Run tests and optimize performance.
• Deployment and maintenance: Support deployment, monitoring and documentation.
• Collaboration: Document code and coordinate with IT teams and stakeholders.

Skills

Python

Backend development

REST APIs

Docker

Tools

FastAPI

Flask

Django

Job description

PT Integra Putra Mandiri is seeking an AI Engineer to build, integrate and maintain AI-powered solutions and reusable AI platform capabilities. You will translate business needs into practical AI applications, from model integration and APIs to testing, deployment and continuous improvement.

Responsibilities include AI application development, model integration, backend and API development, testing, deployment, and cross-team collaboration with developers, IT, and stakeholders to deliver robust