AI Engineer - LLM & Production AI for Mental Health

ThoughtFull™ World; Kuala Lumpur; On-site; MYR 93,000 - 148,000; Full time

Job summary

ThoughtFull is seeking a seasoned software engineer to design, develop, and deploy scalable AI applications. You will build multi-agent AI workflows, integrate LLM providers, and implement robust RAG pipelines with embeddings and vector search.

You will also develop backend services, RESTful APIs, and CI/CD pipelines, collaborating with product and clinical teams to deliver production-ready features while ensuring data privacy and security.

Qualifications

• Degree in Computer Science, Engineering, or related field.
• 4+ years of software engineering, with AI/LLM apps experience.
• Proficient in Python and backend frameworks (FastAPI or Django).
• Experience integrating LLM APIs (OpenAI, Anthropic, etc.).
• Hands-on with AI agents, RAG, and vector databases.

Responsibilities

• Design, develop, and deploy scalable AI applications using LLMs.
• Build AI agents and workflows integrating with APIs and databases.
• Develop RAG pipelines including embeddings and vector search.
• Integrate LLM providers, using prompts and function calling.
• Develop backend services and RESTful APIs for AI apps.
• Implement evaluation and guardrails for safety and reliability.
• Optimize performance, latency, and cost of AI services.
• Deploy and monitor AI services with Docker and CI/CD.
• Collaborate with product, engineering, and clinical teams.
• Research emerging AI tech to improve capabilities.

Skills

Python

FastAPI

Django

APIs

LLM integration

AI workflows

Docker

AWS

CI/CD

Security

Education

Degree in Computer Science, Engineering, or a related field

Tools

LangGraph

LangChain

Pinecone

Milvus

pgvector

Job description

ThoughtFull is seeking a seasoned software engineer to design, develop, and deploy scalable AI applications. You will build multi-agent AI workflows, integrate LLM providers, and implement robust RAG pipelines with embeddings and vector search.

You will also develop backend services, RESTful APIs, and CI/CD pipelines, collaborating with product and clinical teams to deliver production-ready features while ensuring data privacy and security.