[Hiring] AI Engineer @ThoughtFull™ World

Role Description

• Design, develop, and deploy scalable, secure, and production-ready AI applications using Large Language Models (LLMs) and modern AI frameworks.
• Build AI agents and automated workflows that integrate with APIs, databases, tools, and existing systems to enhance product capabilities and operational efficiency.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including document processing, embeddings, vector search, and retrieval strategies.
• Integrate and manage LLM providers such as OpenAI, Anthropic, and AWS Bedrock, utilizing prompt engineering, structured outputs, and function calling.
• Develop and maintain backend services and RESTful APIs to support AI-powered applications and integrations.
• Implement AI evaluation frameworks and guardrails to ensure accuracy, consistency, safety, reliability, and protection of sensitive data, including appropriate human escalation mechanisms.
• Optimize AI application performance, response latency, token usage, and infrastructure costs.
• Deploy, monitor, and maintain AI services using cloud infrastructure, Docker, and CI/CD pipelines.
• Collaborate with product, engineering, and clinical teams to translate business requirements into effective AI-powered solutions.
• Research and evaluate emerging AI technologies, models, and frameworks to continuously improve AI capabilities and engineering practices.

Qualifications

• Degree in Computer Science, Engineering, or a related field.
• 4+ years of professional software engineering experience, including practical experience building AI/LLM applications.
• Strong proficiency in Python and backend development frameworks such as FastAPI or Django.
• Hands-on experience integrating LLM APIs, including OpenAI, Anthropic, or similar providers.
• Experience building production-oriented LLM applications using prompting, structured outputs, and tool/function calling.
• Practical experience with AI agents and agentic workflows, including frameworks such as LangGraph, LangChain, or equivalent approaches.
• Solid understanding of RAG architectures, embeddings, retrieval techniques, and vector databases such as pgvctor, Pinecone, Milvus, or similar.
• Understanding AI evaluation, automated testing, hallucination mitigation, and prompt-injection risks.
• Experience with agentic AI architectures, agent harnesses, and iterative execution loops, including tool orchestration, feedback loops, state management, and automated processes.
• Experience designing RESTful APIs, integrating databases, and developing backend services.
• Hands-on experience with AWS, Docker, and cloud infrastructure.
• Familiarity with CI/CD pipelines, Git, and application monitoring.
• Knowledge of application security, data privacy, and responsible AI development.
• Strong problem-solving skills and the ability to independently deliver AI features from prototype to production.

Requirements

• Experience with AWS Bedrock and cloud-native AI services.
• Experience implementing multi-agent systems and AI workflow orchestration.
• Familiarity with LLM observability, tracing, and evaluation tools such as LangSmith, Langfuse, or similar.
• Experience with speech-to-text, real-time conversational AI, or voice agents.
• Understanding of model fine-tuning, model selection, and inference optimization.
• Knowledge of machine learning fundamentals, NLP, and transformer-based architectures.
• Experience working with sensitive healthcare data or regulated environments.
• Experience developing AI solutions for healthcare, mental health, or personalized recommendation systems.

Benefits

• Basic Salary Range: MYR8,300 - MYR13,300.
• Equal opportunity employer.

IMPORTANT NOTE

• Time Zone: Must be able to work in Malaysia/Singapore time (GMT+8).
• Language: Must be proficient in English, with strong written and verbal communication skills.
• Unfortunately, we’re not able to offer visa sponsorship at this time.