Senior AI Engineer

JOB DESCRIPTION 

We are looking for a Senior AI Engineer with strong expertise in Agentic AI, a solution consulting mindset, and a solid software engineering background.

In this role, you will design, develop, and deliver AI-powered solutions for GEM's existing enterprise clients while driving the implementation of innovative AI capabilities for upcoming projects. You will work closely with cross-functional teams to translate business challenges into scalable, production-ready AI solutions that create measurable business value.

– Design and build AI-powered applications such as: 

• Retrieval-Augmented Generation (RAG) systems 
• AI assistants and copilots 
• Knowledge search platforms 
• Document intelligence pipelines

– Develop agentic AI workflows using frameworks such as: 

• LangGraph 
• CrewAI 
• AutoGen / ADK 

– Implement scalable RAG architectures, including: 

• Document ingestion pipelines 
• Embedding generation 
• Vector search and hybrid retrieval 
• Prompt orchestration and context management 

– Work with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, or Azure AI Search.  

– Deploy AI systems on cloud platforms (AWS, Azure, or GCP), ensure production-ready AI systems with monitoring, evaluation of pipelines, and LLM observability.  

– Collaborate with backend, data engineering, DevOps, and product teams to integrate AI capabilities into enterprise systems. 

REQUIRED SKILLS AND EXPERIENCE 

• 5+ years of experience in software engineering, with 2+ years of hands-on experience building Generative AI / LLM applications.
• Python programming and experience with modern AI frameworks.
• Hands-on experience with LLM applications, RAG architecture, prompt engineering, and AI workflow orchestration.
• Experience with AI services exposed via APIs (FastAPI or similar).
• Experience with LangChain or LlamaIndex and agent frameworks such as LangGraph, CrewAI, or AutoGen.
• Familiarity with vector databases and embedding models.
• Experience deploying systems on AWS, Azure, or Google Cloud Platform.
• Knowledge of Docker, Kubernetes, and distributed systems.
• Fluent English communication and ability to work with global teams. 

Preferred Qualifications 

• Experience with PyTorch or TensorFlow.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or Weights & Biases.
• Experience working with Databricks, pyspark.
• Knowledge of enterprise architecture, scalable distributed systems, model serving at scale. 

BENEFITS 

• Salary: Open to negotiation
• Probation salary is 100% of official salary 
• 13th-month salary and performance review twice a year 
• Bonus for special occasions each year (Labor Day, National Day, Solar New year, Lunar New Year) 
• IT Certificate allowance (AWS/Azure, Outsystems, Salesforce, PMP, Agile/Scrum) 
• BIC Care Health Insurance 
• Social, health and unemployment Insurance following Government policy 
• Enjoy company summer trips and other team building activities held monthly and quarterly 
• Work five days per week with flexible working time 
• Have opportunities to work onsite in Singapore, USA, Sweden, Korea, and Japan 
• Have chances to gain knowledge on the latest waves of blockchain, AI, Big Data 
• Professional, creative and dynamic working environment