AI Engineer
New
T
ThoughtFullMental health AI
Workable workplace: remote; Workable locations: India; Location: India, Must be able to work in Malaysia/Singapore time (GMT+8).Full-TimeMiddle
Salary8,300 - 13,300 MYR per other
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Job Details
- Languages
- Must be proficient in English
- Experience
- 4+ years of professional software engineering experience, including practical experience building AI/LLM applications.
- Required Skills
- AWSDockerPythonDjangoFastAPIRESTful APIsLangChain
Requirements
- 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 frameworks such as FastAPI or Django.
- Hands-on experience integrating LLM APIs, including OpenAI, Anthropic, or similar providers.
- Experience building production-oriented LLM applications with prompting, structured outputs, and tool/function calling.
- Practical experience with AI agents and agentic workflows, using LangGraph, LangChain, or equivalent approaches.
- Understanding of RAG architectures, embeddings, retrieval techniques, and vector databases.
- Understanding of AI evaluation, automated testing, hallucination mitigation, and prompt-injection risks.
- Experience with agent harnesses, iterative execution loops, tool orchestration, feedback loops, and state management.
- 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.
- Must be able to work in Malaysia/Singapore time (GMT+8).
- Must be proficient in English.
Responsibilities
- Design, develop, and deploy scalable, secure, production-ready AI applications using LLMs and modern AI frameworks.
- Build AI agents and automated workflows that integrate with APIs, databases, tools, and existing systems.
- Develop and optimize RAG pipelines, including document processing, embeddings, vector search, and retrieval strategies.
- Integrate and manage LLM providers such as OpenAI, Anthropic, and AWS Bedrock using prompt engineering, structured outputs, and function calling.
- Develop and maintain backend services and RESTful APIs for AI-powered applications and integrations.
- Implement AI evaluation frameworks and guardrails for accuracy, consistency, safety, reliability, and sensitive-data protection.
- 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 AI-powered solutions.
- Research and evaluate emerging AI technologies, models, and frameworks.
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