GenAI & LLM AI Engineer – Enterprise Solutions Architect

Unison Group; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Unison Group is seeking an experienced AI Engineer (FDE) to design, architect, and develop AI-powered solutions across diverse business use cases. You will leverage GenAI and ML expertise to translate business requirements into scalable AI systems.

You will build end-to-end AI applications, evaluate different AI technologies, and work with stakeholders to deliver practical, secure, and cost-effective solutions on cloud platforms.

Qualifikationen

• 4+ years of AI/ML or Generative AI solution development.
• Strong experience with LLMs (OpenAI, Claude, Gemini, Llama, Mistral, etc.).
• Hands-on experience building RAG pipelines, AI Agents, and prompt engineering.
• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel.
• Strong Python programming skills.
• Experience with vector databases (Pinecone, ChromaDB, Milvus, Weaviate, FAISS).
• Experience with cloud AI platforms (Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Good understanding of MLOps, model deployment, monitoring, and AI governance.
• Experience integrating AI solutions using REST APIs and microservices.
• Familiarity with containerization (Docker, Kubernetes) is an advantage.

Aufgaben

• Design, architect, and implement AI/GenAI solutions for enterprise use cases.
• Engage with business stakeholders to understand challenges and propose AI-driven solutions.
• Build end-to-end AI applications using modern frameworks and cloud platforms.
• Evaluate and adapt to different AI technologies based on business needs.
• Develop scalable RAG, AI Agents, and LLM-based applications.
• Integrate AI solutions with enterprise systems and APIs.
• Optimize model performance, cost, scalability, and security.
• Collaborate with Product, Engineering, Data Science, and Business teams.
• Stay updated with latest AI, GenAI, LLMs, and cloud AI services.
• Prepare solution architecture documents, proposals, and client presentations.

Kenntnisse

AI/ML

LLMs

RAG pipelines

AI Agents

Prompt engineering

Python

REST APIs

Docker/Kubernetes

Cloud platforms

MLOps

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI / AutoGen

Pinecone

ChromaDB

Milvus

Weaviate

FAISS

Azure OpenAI

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Docker

Kubernetes

Jobbeschreibung

About the Role

We are looking for an experienced AI Engineer (FDE) who can design, architect, and develop AI-powered solutions for diverse business use cases. The ideal candidate should possess strong GenAI and AI/ML expertise, be capable of solutioning across multiple AI technology stacks, and have excellent business communication skills to engage with stakeholders and translate business requirements into scalable AI solutions.

Key Responsibilities

• Design, architect, and implement AI/GenAI solutions for enterprise business use cases.
• Engage with business stakeholders to understand challenges and recommend AI-driven solutions.
• Build end-to-end AI applications using modern AI frameworks and cloud platforms.
• Evaluate and adapt to different AI technologies, models, and platforms based on business needs.
• Develop scalable RAG (Retrieval-Augmented Generation), AI Agents, and LLM-based applications.
• Integrate AI solutions with enterprise systems and APIs.
• Optimize AI model performance, cost, scalability, and security.
• Collaborate with cross-functional teams including Product, Engineering, Data Science, and Business teams.
• Stay updated with the latest advancements in AI, GenAI, LLMs, AI Agents, and cloud AI services.
• Prepare solution architecture documents, technical proposals, and client presentations.

Required Skills

• 4+ years of experience in AI/ML or Generative AI solution development.
• Strong experience with LLMs (OpenAI, Claude, Gemini, Llama, Mistral, etc.).
• Hands-on experience building RAG pipelines, AI Agents, Agentic AI, and prompt engineering.
• Experience with AI frameworks such as:
• LangChain
• LangGraph
• LlamaIndex
• Semantic Kernel
• CrewAI / AutoGen (preferred)
• Strong programming skills in Python.
• Experience with vector databases such as Pinecone, ChromaDB, Milvus, Weaviate, or FAISS.
• Experience with cloud AI platforms (Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.).
• Good understanding of MLOps, model deployment, monitoring, and AI governance.
• Experience integrating AI solutions using REST APIs and microservices.
• Familiarity with containerization (Docker, Kubernetes) is an advantage.