AI Engineer
ThoughtFull World
AI Engineer
ThoughtFull World
Mobile mental health platform for individuals
ThoughtFull™ World · Kuala Lumpur, Malaysia (Hybrid) · Full-time · Posted 2026-10-21
Workplace: hybrid
Department: Engineering
About ThoughtFull
ThoughtFull is on a mission to simplify mental health for your personal and professional growth - through every season of life, anytime, anywhere.
ThoughtFull is a Temasek-backed mental health company that provides full mental healthcare services for corporates clients around the Asian region and beyond. We were the first in Asia to offer clinically validated text-based coaching and the first to partner with insurers, making care more accessible to individuals and businesses. Join us on our mission and be part of our rockstar team!
What you will do:
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.
About you
Skills and 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
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.
Preferred Qualifications:
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.
validation.
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.
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.
Basic Salary Range: MYR8,300 - MYR13,300
Thoughtfull is an equal opportunity employer. We provide equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need, please inform us for accommodation.
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Mobile mental health platform for individuals
ThoughtFull provides digital mental health solutions in Asia for individuals and organizations, serving both B2C and B2B markets by embedding mental health into corporate benefits and insurer plans. Its core apps include ThoughtFullChat for individuals (self-care resources, progress tracking, text-based coaching, and video sessions with certified professionals, plus an algorithm that matches users to therapists) and ThoughtFullChat Pro for professionals (tools to digitize and scale practice). The company also offers the ThoughtFull Insights dashboard with anonymized wellbeing data for employers and insurers, and integrates wearables data to combine objective metrics with subjective mental health information. ThoughtFull differentiates itself by addressing Asia’s accessibility gaps with end-to-end digital mental health, wearables-informed data, and a dual revenue model, aiming to make mental healthcare more accessible and destigmatized through corporate and insurer partnerships.
Explore more opportunities at ThoughtFull World