ThoughtFull™ World
AI Engineer
engineeringfull timeEgypt
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full time
INDUSTRY
general
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About the role
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.
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