Python Developer

ARISTON SERVICES PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology service provider in Singapore is seeking a skilled developer to design and implement agentic AI workflows using LangGraph. The role requires proficiency in Python and experience with prompt engineering for LLMs. Responsibilities include writing production-grade code and using GitLab CI/CD for deployment. Ideal candidates will have a strong background in AI system design and orchestration, with a focus on creating reliable workflows and components.

Qualifications

• Strong prompt engineering skills for LLM control and output reliability.
• Proven ability to build and maintain LangGraph workflows and reusable components.
• Proficiency in Python, including writing pytest unit tests.

Responsibilities

• Design and develop reusable agentic AI workflows with LangGraph and LLMs.
• Write clean, production-grade Python code with comprehensive pytest unit tests.
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines.

Skills

Prompt engineering skills

Python

Agentic AI system design

LangGraph workflows

Git and GitLab CI/CD

Job description

Key Responsibilities

• Design and develop reusable agentic AI workflows with LangGraph and LLMs
• Craft and refine clear, effective prompts for diverse tasks
• Understand Agent-to-Agent (A2A) design patterns
• Write clean, production-grade Python code with comprehensive pytest unit tests
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines

Required Skills & Experience

• Hands-on experience in agentic AI system design and orchestration
• Strong prompt engineering skills for LLM control and output reliability
• Proven ability to build and maintain LangGraph workflows and reusable components
• Solid understanding of A2A orchestration principles
• Proficiency in Python, including writing pytest unit tests
• Practical experience with Git and GitLab CI/CD in a team environment

Must have

• Strong prompt engineering skills for LLM control and output reliability
• Proven ability to build and maintain LangGraph workflows and reusable components
• Proficiency in Python, including writing pytest unit tests
• Use Git for version control and GitLab CI/CD to automate build, test, and deployment pipelines

Good to have

• Hands-on experience in agentic AI system design and orchestration
• Solid understanding of A2A orchestration principles