Software Engineer on BIPO's Data Science & Analytics Platform team in Singapore, building AI-driven automation, automated data workflows, and scalable cloud infrastructure for internal systems. Core work centers on Python, SQL, and AI tooling (LLMs, AI Agents, MCP servers) to turn pilots into production solutions.
The team
Join our BIPO's Data Science and Analytics Platform team (DSA) on an adventure to make BIPO the best HR solutions provider in the world. We make life easier for our customers and employees, always finding the next Pareto's 80/20 in business, in data, and in people. We conceive, communicate, and build unique capabilities for BIPO that will need to live up to proof-points. This is not an easy job but is one that will put to test on our strengths, vulnerabilities, and prioritization, very much like a team sport. If you enjoy a sense of camaraderie at work, this is the place for you.
The role
We welcome anyone with proven core technical strengths and is outcome driven to have a chat with us. If you do not have the breadth but can show depth, we are also keen to talk to you. Akin to the idea of rapid prototyping, we continuously try to achieve quick wins and improve business through AI and Automation, ultimately striving to make life easier.
Responsibilities
Design, implement and maintain automated data workflows and tools to streamline data integration and processing tasks
Use AI tools (e.g., Claude, KIRO, Codex, etc) to develop solutions, including the generation, reviewing and testing of scripts and code in languages such as Python, C#.NET, Typescript, etc
Design, provision and maintain scalable cloud infrastructure (including compute, storage, networking and managed services) to support the reliability, security and performance of internally built systems, tools and data workflows
Engage internal clients to understand their needs and deliver tailored AI-driven technical solutions
Research and evaluate emerging AI technologies to enhance operational efficiency, scalability, and innovation.
Collaborate with cross-functional teams to identify repetitive tasks that can be standardised and automated as part of building an AI-First SOP engine within the organisation
Support Proof-of-Concept (PoC) initiatives and transition successful pilots into production
Qualifications
BA/BS degree in Computer Science or the equivalent
1-3 years of working experience in application development
Proficiency in Python and SQL, with applied experience in OOP and refactoring
Knowledge and deep interest in LLMs, AI Agents, MCP Servers, etc
Strong in problem solving and interpersonal skills
Experience with following is a plus:
Working with relational, distributed, and NoSQL databases (e.g. MS SQL, PostgreSQL, MongoDB, etc.)
Deploying and managing solutions on cloud platforms (e.g. AWS, Azure, Alibaba Cloud, etc.)
Developing and securing web applications and APIs, including architectural design
Programming and scripting in various languages such as PowerShell, JavaScript, C#.NET, etc