Responsibilities

Software Development & System Integration

Develop and maintain APIs and system integrations: Build, test, and maintain APIs, backend services, and integration components that connect internal systems, AI platforms, and third-party applications.
Support AI platform development: Assist in implementing and enhancing enterprise AI platform capabilities, including AI agents, automation workflows, and supporting services.
Implement technical solutions: Work with solution architects and senior engineers to translate technical designs and business requirements into working software components.
Integrate AI and automation services: Support the integration of AI models, LLM services, AI agents, and automation tools with existing enterprise applications.
Troubleshoot technical issues: Investigate and resolve application errors, API integration issues, and system connectivity problems.

MVP & Prototype Development

Develop MVPs and proof-of-concepts (POCs): Participate in the design, development, and testing of prototypes and pilot solutions within the Agile Lab.
Support AI agent development: Assist in building, configuring, and testing AI agents using enterprise AI development platforms and frameworks.
Perform system testing and debugging: Conduct unit testing, integration testing, and troubleshooting to ensure solutions meet functional and technical requirements.
Support deployment activities: Assist with application deployment, configuration, and testing across development, testing, and production environments.
Participate in Agile delivery: Work closely with team members to complete assigned development tasks within agreed sprint timelines.

Security, Governance & Technical Standards

Follow enterprise development and security standards: Apply secure coding practices, API security principles, access controls, and established development guidelines.
Support implementation of technical controls: Assist in configuring and implementing security, audit logging, authentication, and access management requirements.
Maintain code quality: Participate in code reviews, source control management, and continuous integration and deployment (CI/CD) processes.

Technical Documentation & Production Support

Prepare technical documentation: Maintain API documentation, integration guides, configuration details, and deployment instructions.
Support production readiness: Assist with application testing, deployment preparation, and technical handover from MVP to production.
Monitor and resolve technical issues: Support application monitoring, defect resolution, and ongoing improvements.
Collaborate with stakeholders: Work with senior engineers, solution architects, infrastructure teams, security teams, and external vendors to deliver technical solutions.

Qualifications

Experience

1 to 3 years of experience in software development, backend engineering, system integration, or related technical roles.
Experience developing applications or backend services using programming languages such as Python, Java, C#, or JavaScript/TypeScript.
Familiarity with REST APIs, JSON, HTTP, and common system integration techniques.
Basic experience with relational databases such as SQL Server, PostgreSQL, or MySQL.
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud would be an advantage.
Fresh graduates with strong technical skills, relevant projects, or internship experience may also be considered.

Technical Skills

Software Development: Understanding of programming fundamentals, object-oriented programming, debugging, and software development practices.
API & Integration: Basic knowledge of RESTful API development, API authentication, and application integration.
Cloud Technologies: Familiarity with cloud services, application hosting, and serverless computing concepts.
AI & Automation: Basic understanding of generative AI, Large Language Models (LLMs), AI agents, and automation technologies.
Databases: Ability to write basic SQL queries and work with relational databases.
DevOps Tools: Familiarity with Git, CI/CD pipelines, and development tools.
Security Awareness: Basic understanding of application security, authentication, authorization, and secure coding practices.

Additional Advantages (Not Mandatory)

Exposure to Microsoft Azure services such as Azure Functions, Azure API Management, or Azure AI Foundry.
Familiarity with Microsoft Copilot Studio, AI agent development frameworks, or LLM APIs.
Understanding of Retrieval-Augmented Generation (RAG), function calling, or Model Context Protocol (MCP).
Experience with Docker, containerization, or cloud deployment.
Exposure to Agile/Scrum development environments.

Soft Skills

Good analytical, problem-solving, and troubleshooting skills.
Willingness to learn new technologies, particularly AI, cloud computing, and enterprise integration.
Ability to work collaboratively with developers, architects, and cross-functional teams.
Good communication skills and ability to document technical work clearly.
Able to manage assigned tasks and escalate technical issues when necessary.
Proactive attitude and willingness to experiment with emerging technologies.

Education

Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
Equivalent practical experience and demonstrated technical capabilities may also be considered.

Software Engineer (AI Platform & Integration)