# AI Engineer (FDE - Full Development Engineer)

> Unison Group · Singapore, Singapore · Full-time · Posted 2026-07-16

**Workplace:** on_site

**Department:** Manish

## Description

### 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.

## Apply

[Apply at Unison Group](https://apply.workable.com/unisongroup/j/59B9556BEF/apply)

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