Backend AI Platform Engineer (Python, LLMs)

Kredivo; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Kredivo, Singapore-based fintech, is building an internal AI platform. You will own production AI backend services, APIs, and workflows, delivering end-to-end solutions from design to deployment. You’ll prototype with AI, ensure security, and drive production quality while partnering with product, security, and data teams.

The role emphasizes hands-on software engineering, pragmatic design, and contributing to scalable AI capabilities for internal users across Southeast Asia.

Qualifications

• 3+ years of professional software engineering experience in backend Python.
• 2+ years with PostgreSQL or MySQL; design schemas and indexing.
• 2+ years deploying backend services on AWS or GCP with Docker/Kubernetes and CI/CD.
• Hands-on experience building LLM-powered apps with agents and tools.
• Experience using AI coding agents to prototype and review code.
• Ability to break down ambiguous problems and collaborate cross-functionally.

Responsibilities

• Build production AI applications and services.
• Own delivery end to end from requirements to deployment.
• Prototype and develop with AI using agentic coding tools.
• Measure and improve quality with tests, observability, feedback.
• Make capabilities reusable by documenting platform components.
• Collaborate with engineers, product, security, data scientists and business teams.

Skills

Python backend

Relational DB

Cloud deployment

LLM/Agent apps

Agentic engineering

Cross-functional collab

Education

CS degree or equivalent

Tools

LangChain

LangGraph

Strands

Job description

Kredivo, Singapore-based fintech, is building an internal AI platform. You will own production AI backend services, APIs, and workflows, delivering end-to-end solutions from design to deployment. You’ll prototype with AI, ensure security, and drive production quality while partnering with product, security, and data teams.

The role emphasizes hands-on software engineering, pragmatic design, and contributing to scalable AI capabilities for internal users across Southeast Asia.