AI Engineer

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AI Engineer in Others

ThoughtFull World
Full time
Email

Others
10/22/2026
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Kuala Lumpur, Malaysia

Responsibilities

Design, develop, and deploy scalable production AI applications using LLMs and modern AI frameworks.
Build AI agents and automated workflows integrating APIs, databases, tools, and existing systems.
Develop and optimize RAG pipelines involving document processing, embeddings, vector search, and retrieval strategies.
Integrate and manage OpenAI, Anthropic, AWS Bedrock, and similar LLM providers using prompting, structured outputs, and function calling.
Develop backend services and RESTful APIs for AI-powered applications and integrations.
Implement AI evaluation frameworks, automated testing, guardrails, hallucination mitigation, prompt-injection protections, and human escalation mechanisms.
Optimize AI application performance, latency, token usage, reliability, 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 deliver AI-powered solutions and evaluate emerging AI technologies.

Requirements

A degree in Computer Science, Engineering, or a related field is required.
At least 4 years of professional software engineering experience, including practical experience building AI/LLM applications.
Strong Python and backend development skills, including FastAPI or Django.
Hands-on experience integrating LLM APIs and building production-oriented applications with prompting, structured outputs, and tool or function calling.
Experience with AI agents, agentic workflows, agent harnesses, tool orchestration, feedback loops, state management, and iterative execution.
Understanding of RAG architectures, embeddings, retrieval techniques, and vector databases such as pgvector, Pinecone, or Milvus.
Experience designing RESTful APIs, integrating databases, and developing backend services.
Hands-on AWS, Docker, and cloud infrastructure experience, plus familiarity with Git, CI/CD pipelines, and application monitoring.
Knowledge of application security, data privacy, responsible AI, AI evaluation, automated testing, hallucination mitigation, and prompt-injection risks.
Ability to independently deliver AI features from prototype to production and communicate proficiently in English.
Preferred: AWS Bedrock and cloud-native AI service experience; multi-agent systems and workflow orchestration; LangSmith, Langfuse, or similar observability and evaluation tools; speech-to-text, real-time conversational AI, or voice agents; model fine-tuning, selection, and inference optimization; machine learning, NLP, and transformer architectures; sensitive healthcare or regulated-environment experience; and healthcare, mental health, or personalized recommendation systems experience.

Benefits

Hybrid full-time role based in Kuala Lumpur, Malaysia.
Must be able to work Malaysia/Singapore time, GMT+8.
The employer is unable to offer visa sponsorship at this time.

ThoughtFull World

ThoughtFull World empowers individuals and organizations to cultivate mindful innovation, blending creative insight with purposeful action. By fostering collaborative environments and nurturing holistic thinking, we help clients unlock sustainable growth and positive impact. Our mission is to ins...

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