AI Engineer
ThoughtFull World1 day ago
Remote, EgyptMid Level
Responsibilities
- Design, develop, and deploy scalable, secure, production-ready 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 LLM providers including 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, guardrails, safety controls, sensitive-data protection, and human escalation mechanisms.
- Optimize application performance, 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 requirements into AI-powered solutions.
- Research and evaluate emerging AI technologies, models, and frameworks.
Requirements
- A 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 and building production-oriented LLM applications with prompting, structured outputs, and tool/function calling.
- Experience with AI agents and agentic workflows using approaches or frameworks such as LangGraph or LangChain.
- Understanding of RAG architectures, embeddings, retrieval techniques, and vector databases such as pgvector, Pinecone, or Milvus.
- Experience with AI evaluation, automated testing, hallucination mitigation, prompt-injection risks, agent harnesses, tool orchestration, feedback loops, state management, and iterative execution.
- Experience designing APIs, integrating databases, and developing backend services.
- Hands-on experience with AWS, Docker, and cloud infrastructure, plus familiarity with Git and application monitoring.
- Knowledge of application security, data privacy, and responsible AI development.
- Preferred experience includes AWS Bedrock, cloud-native AI services, multi-agent systems, workflow orchestration, LLM observability, tracing, and evaluation tools such as LangSmith or Langfuse.
- Preferred experience includes speech-to-text, real-time conversational AI, voice agents, model fine-tuning, model selection, inference optimization, machine learning fundamentals, NLP, transformer-based architectures, and regulated or healthcare environments.
- Preferred experience developing AI solutions for healthcare, mental health, or personalized recommendation systems.
- Must be proficient in English and able to work independently from prototype through production.
Benefits
- Remote full-time work arrangement.
- Must be able to work Malaysia/Singapore time, GMT+8.
- Basic salary range is MYR8,300–MYR13,300.
- Visa sponsorship is not offered at this time.