Total 3 mobile application developer job vacancies in Singapore

Role Summary:

We are searching for a committed, deadline-driven Accounting/Finance intern to join our Account Receivable team. You will be responsible for supporting various operational functions. This includes supporting daily cash application tasks, learning our systems and processes, and collaborating with the team to ensure accuracy and efficiency.  

What you’ll be doing:

• Working closely with the Cash Applications Team or designated team members to complete assigned tasks, primarily focusing on Cash applications and administrative tasks.
• Ensuring accuracy and attention to detail in all payment applications to minimize discrepancies.
• Assisting with the reconciliation of bank statements to ensure accurate payment applications.
• Supporting the processing of direct debit transactions and credit card payments to maintain workflow efficiency.
• Collaborating with the collections team to address and resolve payment-related inquiries.

Job description

Key Responsibilities:

Test Planning & Strategy

Collaborate with Product Owners, Engineering Leads, and BAs to define functional & non-functional test requirements.

Identify test scenarios for cloud vs. mainframe validation within SPC1 objectives.

Test Automation & Execution

Develop automated test scripts in Python leveraging AWS (S3, Lambda, DynamoDB, Glue).

Integrate tests into CI/CD pipelines (Jenkins, Harness) with automated reporting.

Execute functional tests for ingestion transformation, lineage checks, reconciliation.

Non-Functional Testing

Conduct performance, reliability, and failover testing for ingestion pipelines.

Validate timeliness, completeness, consumption, and governance alignment with automation.

Support rollback, replay, and amendment workflows.

Compliance & Governance Assurance

Test encryption, IAM least privilege, secrets management, vulnerability scanning.

Collaboration & Documentation

Troubleshoot test failures with DevOps and Release Engineers.

Document test results, defects, variances for Product sign-off.

Participate in DRB reviews to ensure testing aligns with architecture and data control standards.

Required Skills & Technical Competencies:

Languages & Tools: Python and use of AI-assisted tooling (Cursor, Claude Code).

Cloud Services: AWS Transform, S3, Lambda, DynamoDB, Glue.

DevOps Practices: CI/CD integration, Jenkins/Harness, Bitbucket.

Data Testing: Schema validation, nullability checks, lineage verification, variance documentation.

Core Outcomes & Success Metrics:

Automated tests executed for all ingestion pipelines.

Real-time Data Control Dashboards showing compliance/non-compliance without manual refresh.

Cloud vs. Mainframe parity validation completed, with exceptions documented.

Audit-ready evidence artifacts generated and stored.

Operational scenarios (rollback, amendment, replay) validated and documented.

Role Summary:

We are looking for a motivated Entry-level Generative AI Application Developer to join our team and help build AI-powered internal applications such as chatbots, copilots, and workflow automations. In this role, you will support senior engineers in developing generative AI applications that integrate with Experian’s internal systems and APIs, using modern Python frameworks and large language models. This is a great opportunity for someone passionate about generative AI, eager to learn, and looking to build a career in AI application development.

Work that matters - What you’ll be doing 

• Help develop, and test internal generative AI applications, including chatbots, assistants, and automations that support teams across the company.
• Implement and maintain Python-based backends and APIs that connect AI applications to internal services, data sources, and business workflows.
• Use frameworks such as LangChain, LlamaIndex, and OpenAI Agents / Assistants SDK to orchestrate prompts, tools, and agents.
• Contribute to retrieval-augmented generation (RAG) pipelines (e.g., indexing internal documents, configuring retrievers, and wiring them into LLM flows) – as a strong plus, not a prerequisite
• Help document application architectures, workflows, and technical decisions in a clear and structured way for both technical and non-technical audiences.
• Participate in testing and evaluating AI applications to ensure they are robust, aligned to business requirements, and safe to use (including checking prompts, guardrails, and failure modes).
• Collaborate closely with product teams and business stakeholders to understand internal use cases and translate them into practical AI-powered solutions.

Why this role is important to us:

This role is vital to us because it supports our commitment to safely and effectively adopting Generative AI across the organization. By joining our team, you will gain hands-on experience building real internal AI applications that will improve productivity and decision-making for our colleagues. You will work alongside experienced engineers who will mentor you in modern AI application design, APIs, cloud deployment, and good software engineering practices. Over time, this role provides a strong foundation to grow into a mid-level or senior Generative AI Application Developer, with a deep understanding of how to build reliable, secure, and impactful AI solutions on a scale. Your contributions will directly influence how we use Generative AI to simplify workflows, automate repetitive tasks, and unlock new value from our data and systems.