Full-Stack Engineer

Key Responsibilities:

• Analyze the client needs, scope the problem and develop business case to address the problem
• Document requirements, source and evaluate alternatives, and recommend solution that best fits the client needs
• Work with clients and app vendor on the solutions and design to seek clarification and acceptance.
• Design, develop and deliver working software applications to delight customers
• Improve software quality using XP practices such as code review and unit testing
• Prepare architectural and other technical documents
• Assist BA on user stories elaboration
• Assist QA on test automation and bug fixes
• Assist DevOps on build and release automation
• Work with client users to ensure smooth deployment and adoption of new solution
• Assess business needs for service requests and the impact of enhancements to the system
• Assess problem resolution approach and implement effective service recovery of ICT incidents and establish systems and processes to prevent recurrence of the same incident
• Understand the IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines.

Qualifications:

• Degree or Diploma in Computer Science, Computer or Electronics Engineering, Information Technology, or related disciplines.
• Strong proficiency in Python, including writing scripts, handling data structures, and building robust backend APIs using frameworks such as FastAPI.
• Solid understanding of LLM fundamentals, including tokenisation, context windows, and API integrations with providers such as OpenAI, Anthropic, Gemini, and AWS Bedrock, along with practical experience in prompt engineering
• Hands-on experience building agentic workflows and multi-step AI processes using orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
• Demonstrated ability to design and implement Retrieval-Augmented Generation (RAG) systems, including working with vector databases (e.g. Pinecone, Weaviate, FAISS) and embedding techniques to enable AI models to access and reason over external data sources.
• Experience designing AI agent systems, including equipping models with tools, memory, and the ability to plan and execute multi-step actions autonomously.
• 2 to 5 years of experience in the Pega application platform will be a strong advantage, as our main application is built on Pega. Experience integrating AI and LLM capabilities into Pega workflows is particularly valued.
• Hands-on experience in at least one full project development life cycle in Pega will be an added advantage. 
• Experience in one or more of the following processes and infrastructure areas:
• Agile processes and practices
  · Continuous integration and continuous deployment (CI/CD)
  · Cloud and PaaS platforms such as AWS or GCP
  · Serverless frameworks
  · Docker and container technologies 
• Familiarity with unit testing and software quality practices.
• Advantageous to have:
• Consulting or Business Analysis experience
  · Prior experience in system solutioning and development for mid to large-scale IT projects
  · Knowledge of web services, REST APIs, sFTP, and security concepts for system interfaces
  · Experience in requirement and workshop facilitation, and documentation of user requirements into Agile user stories and acceptance criteria
  · Experience defining UAT test scenarios and facilitating SIT and UAT testing 
• The following personal traits will be an added advantage: self-driven and independent, strong problem-solving and analytical skills, good communication and interpersonal skills, and strong presentation and listening skills.