AI Engineer

About the job

Company Description: Ivy Mobility is a rapidly growing enterprise SaaS company specializing in the Consumer Goods sector, delivering cutting-edge solutions to enhance customer experiences and optimize field operations. Businesses leverage Ivy’s cloud-based technologies for retail execution, direct store delivery, and distribution management, streamlining operations and driving revenue growth at the shelf. With support for diverse sales channels, Ivy’s solutions connect suppliers, distributors, and retailers while enabling quick and efficient implementations in just 8-12 weeks. Headquartered in Singapore with a global footprint, Ivy Mobility supports over 55,000 users and processes 100 million mobile transactions monthly across more than 20 countries. About the Role: We are seeking a highly skilled AI Engineer with strong hands-on experience in Large Language Models (LLMs) and Agentic AI systems to join our team. The ideal candidate will have 2+ years of direct LLM experience, 1+ year building Agentic AI solutions, and a proven track record using open-source AI frameworks and deploying multi-agent architectures in production environments. Key Responsibilities: • Design, develop, and deploy LLM-powered applications, including fine-tuning, RAG pipelines, and prompt engineering. • Build and optimize Agentic AI systems, including multi-agent orchestration, tool integrations, and workflow automation. • Architect and implement multi-agent frameworks using open-source toolkits such as LangChain, LlamaIndex, Haystack, AutoGen, CrewAI, Semantic Kernel, or related alternatives. • Develop scalable backend services to operationalize AI models using APIs, microservices, and event-driven workflows. • Evaluate, integrate, and customize open-source LLMs (Llama, Mistral, DeepSeek, Phi, etc.) for domain-specific tasks. • Implement RAG architectures using vector databases (Pinecone, Milvus, Weaviate, Chroma, etc.). • Deploy and maintain models using containerized environments (Docker, Kubernetes) and CI/CD pipelines. • Conduct benchmarking, model evaluation, and performance tuning for latency, accuracy, and cost efficiency. • Work cross-functionally to understand business needs and translate them into scalable AI solutions. • Ensure security, governance, compliance, and responsible AI practices across deployments.

Requirements

• Large Language Models
• Agentic AI
• Python
• FastAPI/Flask
• Docker

Qualifications

• Bachelor’s or Master’s degree in Computer Science

Preferred Technologies

• Large Language Models
• Agentic AI
• Python
• FastAPI/Flask
• Docker

Benefits

• Opportunity to build and scale cutting-edge AI systems in a production environment.
• Collaborative environment with strong technical leadership.

About the company

Ivy Mobility is a rapidly growing enterprise SaaS company specializing in the Consumer Goods sector, delivering cutting-edge solutions to enhance customer experiences and optimize field operations. Businesses leverage Ivy’s cloud-based technologies for retail execution, direct store delivery, and distribution management, streamlining operations and driving revenue growth at the shelf. With support for diverse sales channels, Ivy’s solutions connect suppliers, distributors, and retailers while enabling quick and efficient implementations in just 8-12 weeks. Headquartered in Singapore with a global footprint, Ivy Mobility supports over 55,000 users and processes 100 million mobile transactions monthly across more than 20 countries.