AI Developer - #1104472

PrimusTech Pte Ltd is a Master Systems Integrator (MSI) for buildings and facilities, as well as a mechanical engineering solutions provider. With over 25 years of experience, our award-winning team handles projects for both public and private infrastructure. We offer Integrated Building Management Systems (IBMS) and Smart Facility Management Systems through our in-house developed Sirius+ framework. Based in Singapore, PrimusTech boasts an extensive portfolio of satisfied clients.

Key Responsibilities:

• Assist the Technical Manager in designing, developing, testing, and implementing AI software for Building Automation and Facility Management.

• Designing and implementing Generative AI solutions using Large Language Models to solve domain specific problems.

• Developing initial versions of AI applications for testing and feedback.

• Refining AI models for improved performance, accuracy, efficiency, and scalability.

• Integrating trained AI models into production environments and existing software systems, ensuring seamless interaction between AI components and broader software.

• Continuously monitoring AI performance in production environments, troubleshooting errors, and updating models to ensure ongoing accuracy and efficiency.

• Designing custom AI solutions to help businesses automate tasks, optimize processes, and make data-driven decisions.

• Analyzing AI-generated outputs, identifying issues, and developing innovative solutions to complex challenges in AI system design and optimization.
  

Requirements:

• Bachelor’s degree in computer science, MIS, Software Engineering, or Information Systems.

• 4+ years of hands-on experience software development for Artificial Intelligence and Machine Learning.

• Knowledge of Natural Language Processing (NLP), Generative AI and Large Language Models (LLM) and how to leverage them for applications.

• Proficient in using leading LLMs (Gemini, GPT-4), with experience in context window management and token cost optimization.

• Skilled in designing and implementing end-to-end GenAI architecture, covering prompt engineering, embeddings and vector stores, RAG, function calling, MCP, multi-agent systems, and fine-tuning (LoRA), and has hands-on experience with using relevant tools.

• Experience building production-grade agents and knowledge-based QA systems using LangChain.

• Proficient in Java, and Python programming.

• Experience with SQL/NoSQL databases for data manipulation, analysis, and interpretation.

• Experience with AI/ML services on platforms like AWS, Google Cloud, Azure.

• logical reasoning, analytical abilities, and creativity in designing solutions.

• Strong desire to learn new technologies, tools, and research.

• work effectively in cross-functional teams.

• Ability to work in a fast-paced and agile development environment and to learn new frameworks/stacks.