Be wary of WhatsApp messages impersonating Jobline Resources's staff offering job opportunities. Those who encounter suspicious messages can contact Jobline at +65 6339 7198

Responsibilities

  • Develop, test, and deploy Generative AI models using LangChain, AWS Bedrock, and other AI frameworks.
  • Leverage Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) to enhance AI search efficiency, knowledge retrieval, and retrieval-augmented generation (RAG) for improved contextual responses.
  • Design effective prompts to optimize AI-generated outcomes through prompt engineering.
  • Implement search and retrieval techniques, including code ingestion and knowledge retrieval to enhance AI performance.
  • Debug AI models and cloud-based solutions independently, particularly within AWS environments.
  • Build and integrate frontend applications using Streamlit and backend services using Python to create end-to-end AI applications.
  • Collaborate with cross-functional teams to test AI-driven solutions, gather feedback, and enhance system capabilities.
  • Communicate complex AI concepts effectively to non-technical stakeholders, ensuring clarity in AI adoption and implementation.
  • Actively contribute to team discussions, providing insights and proposing solutions to AI-related challenges.

Requirements

  • Diploma / Degree in Computer Engineering with 1 year of relevant experience
  • Proficiency in Python – Strong programming skills, especially in AI/ML model development, API integration, and cloud-based deployment.
  • Prompt Engineering Expertise – Ability to craft, test, and optimize AI prompts to improve LLM (Large Language Model) performance.
  • Experience with Vector Databases (e.g. AlloyDB, Aurora PostgreSQL DB) – Knowledge of retrieval-augmented generation (RAG) techniques and efficient AI memory storage.

Shortlisted candidates will be offered a 1 Year Agency Contract employment