Senior Gen AI Developer

Luxoft; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A financial technology company seeks an AI Agentic Developer to implement advanced solutions in financial institutions. The ideal candidate will have over 6 years of experience, with a strong background in Python and SQL, and practical knowledge of ML libraries. Responsibilities include designing reusable agentic AI workflows and writing production-grade Python code. Join a dynamic team focused on innovation.

Qualifications

• 6+ years of overall working experience with 3+ years in Agentic AI.
• Strong proficiency in Python, and familiarity with pytest unit tests.
• Experience with agentic AI system design and orchestration.

Responsibilities

• Design and develop reusable agentic AI workflows.
• Craft effective prompts for diverse tasks.
• Write clean, production-grade Python code.

Skills

Python

SQL

ML libraries (scikit-learn, PyTorch, TensorFlow)

MLOps tools (MLflow, Kubeflow, Azure ML)

Prompt engineering for LLMs

Tools

Git

GitLab CI/CD

Job description

Project description

We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions.

Responsibilities

• Problem solving ability with logical reasoning.
• 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.
• Adapt to role flexibility and take on additional responsibilities as needed.

SKILLS

Must have

• 6+ years of overall working experience with 3+ years of experience in Agentic AI.
• Absolute Must Skills: Python, SQL, and ML libraries (scikit-learn, PyTorch, TensorFlow).
• MLOps tools (MLflow, Kubeflow, Azure ML).
• Strong to average proficiency in Python, including writing pytest unit tests.
• Practical experience with Git and GitLab CI/CD in a team environment.
• Hands-on experience in agentic AI system design and orchestration.
• Good 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.
• Able to understand the business requirements and convert into tech specifications.
• Ready to work in a rapidly changing environment.
• Azure cloud, Kubernetics setup or experience configuring them.
• Handle data transformation and reusable components.

Nice to have

• Java (sprinboot).
• React.
• Experience in financial domain data (risk, trading, KYC, etc.).
• LangGraph, A2A.