AI & Analytics Engineer

Tech Aalto Pte ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Tech Aalto Pte ltd in Singapore seeks an AI & Analytics Engineer to design and implement production-grade ML systems, focusing on scalable, efficient code and end-to-end model pipelines.

The role covers GenAI, agentic frameworks, and working with multiple language models, with confidentiality promised and shortlisted candidates only.

Qualifications

• Strong hands-on coding expertise with focus on scalable, production-grade code.
• Ability to design, develop, train, evaluate, and deploy ML/AI models in production environments.
• Experience across GenAI and agentic frameworks (LangChain, AutoGen, CrewAI or similar).
• Experience with multiple language models (OpenAI, Anthropic, LLaMA, Mistral, etc.)

Skills

Strong hands-on coding

End-to-end model building

GenAI & agentic frameworks

Multiple AI language models

Tools

LangChain

AutoGen

CrewAI

Job description

• Strong hands-on coding expertise (this is the most critical requirement)
  • Ability to write clean, efficient, production-grade code with a focus on scalability and performance
• Ability to work on and build models end-to-end
  • Ability to design, develop, train, evaluate, and deploy machine learning and AI models in production environments
• Experience across GenAI and agentic frameworks
  • Hands-on experience working with Generative AI models (LLMs, diffusion models, etc.) and their practical applications
  • Familiarity with agentic frameworks (e.g., LangChain, AutoGen, CrewAI, or similar) and building autonomous or semi-autonomous AI agents
• Exposure to working with multiple AI language models
  • Experience working with multiple large language models (e.g., OpenAI, Anthropic, open-source models like LLaMA, Mistral, etc.)

AI & Analytics Engineer

• • Strong hands-on coding expertise (this is the most critical requirement)
    • Ability to write clean, efficient, production-grade code with a focus on scalability and performance
  • Ability to work on and build models end-to-end
    • Ability to design, develop, train, evaluate, and deploy machine learning and AI models in production environments
  • Experience across GenAI and agentic frameworks
    • Hands-on experience working with Generative AI models (LLMs, diffusion models, etc.) and their practical applications
    • Familiarity with agentic frameworks (e.g., LangChain, AutoGen, CrewAI, or similar) and building autonomous or semi-autonomous AI agents
  • Exposure to working with multiple AI language models
    • Experience working with multiple large language models (e.g., OpenAI, Anthropic, open-source models like LLaMA, Mistral, etc.)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.