Full Stack AI Engineer (Generative AI) — Singapore

BEATHCHAPMAN (PTE. LTD.); Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

BeathChapman Pte Ltd in Singapore is seeking a senior engineer to design and ship generative-AI applications, turning data into trusted business outcomes. You will architect AI platforms, deploy production services, and own quality, security and governance across the stack.

You’ll collaborate with product, data and business teams to drive enterprise-scale AI initiatives, advocate Responsible AI, and deliver end-to-end solutions on Azure and multi-cloud where relevant.

Qualifications

• 5+ years in software, cloud, data or AI engineering, incl. 2+ years with generative AI / LLMs.
• Production AI/data solutions delivered at enterprise scale.
• Hands-on with Azure OpenAI and at least one major foundation model (e.g., Gemini/Claude).
• Experience with RAG architectures using vector databases and embeddings.
• Strong Python, REST API development and SDK integration.
• Experience in LLM orchestration frameworks (LangChain, Semantic Kernel).
• Solid DevOps: version control, CI/CD, MLOps/LLMOps, monitoring.
• Understanding of Responsible AI, governance, privacy and compliance.
• Legal right to work in Singapore.

Responsibilities

• Build and ship generative-AI applications, deploying LLM-powered services.
• Implement RAG with vector DBs, embeddings and semantic search; expose via APIs.
• Develop prompts, evaluation, and orchestration pipelines for reliable model output.
• Create document-processing pipelines using OCR and document-intelligence tech.
• Own platform security, governance, cost and performance monitoring in production.
• Partner with business to identify high-impact AI opportunities and run pilots.

Skills

Python development

REST API

CI/CD practices

MLOps/LLMOps

LangChain

Semantic Kernel

Azure OpenAI

Cloud architectures

Responsible AI

Kubernetes

Education

Bachelor's degree in Engineering, Computer Science, AI, Data Science or related field

Tools

Azure OpenAI

Azure cloud services

Pinecone

Weaviate

Chroma

Docker

Kubernetes

LangChain

Semantic Kernel

OCR/document-intelligence tools

Job description

The opportunity

Our client is a health-technology and data-analytics company, headquartered in Singapore with a footprint across APAC. They build AI-powered products that help healthcare and insurance organisations turn complex data into faster, better decisions. This is a hands-on senior engineering role on a team taking generative-AI solutions from prototype to production in a regulated, enterprise data environment.

You’ll work end-to-end, designing architectures, shipping production services, and owning quality, security and governance, in close partnership with product, data and business teams.

What you’ll do

Build and ship generative-AI applications.

Design and deploy LLM-powered applications on leading foundation models. Implement retrieval-augmented generation (RAG) using vector databases, embeddings and semantic search. Build AI agents, copilots, chatbots and workflow automation. Develop the prompts, evaluation frameworks and orchestration pipelines that keep model output reliable, and expose it all through clean APIs and cloud-native services.

Turn documents and unstructured data into value.

Build intelligent document-processing pipelines using document-intelligence and OCR services — extracting, classifying, validating and transforming both structured and unstructured content. Integrate supporting AI capabilities (vision, speech, language, translation) where they add value, backed by robust validation.

Own platform, security and governance.

Design scalable AI architectures on Azure (and, where relevant, multi-cloud). Apply Responsible-AI practices, governance, privacy and compliance from the start. Monitor performance, cost, latency and hallucination, and stand up the CI/CD, MLOps/LLMOps and observability that make solutions dependable in production.

Drive innovation with the business.

Partner with stakeholders to identify and prioritise high-impact AI opportunities, run POCs and pilots through to production, and bring a well-informed point of view on emerging tools and techniques.

What we’re looking for

• 5+ years in software, cloud, data or AI engineering, including 2+ years hands-on with generative AI / LLM solutions.
• A track record of delivering enterprise-scale AI or data-driven solutions into production.
• Demonstrable, hands-on production experience with Azure OpenAI and/or OpenAI, plus at least one other major foundation model (e.g. Google Gemini or Anthropic Claude).
• Practical experience implementing RAG architectures with vector databases (e.g. Azure AI Search, Pinecone, Weaviate, Chroma), embeddings and semantic search.
• Strong Python development, plus REST API and SDK integration.
• Experience with an LLM orchestration framework — LangChain and/or Semantic Kernel.
• Hands-on with Azure cloud services (e.g. AI Search, Functions, App Services, Container Apps, Storage, Key Vault) and document-intelligence / OCR tooling.
• Solid DevOps foundations: version control, CI/CD, and MLOps/LLMOps practices.
• Working understanding of Responsible AI, model evaluation, governance, privacy and compliance.
• Bachelor’s degree in Engineering, Computer Science, AI, Data Science or a related field.
• Candidates must have the legal right to work in Singapore and be able to maintain the required work authorisation for the duration of employment.

Nice to have

• Agentic AI and advanced orchestration (e.g. LangGraph, LlamaIndex).
• Multimodal AI (vision, speech, video).
• Model fine-tuning and evaluation.
• Containerisation and orchestration (Docker, Kubernetes).
• Knowledge graphs, or low-code AI integration platforms.
• Prior exposure to a regulated data domain (healthcare, insurance or financial services).

The person

We’re after a pragmatic builder who is current on a fast-moving field and translates it into real business value — someone who designs for scale, cost and maintainability, communicates clearly across technical and non-technical audiences, makes decisions from data and evaluation, and thrives in a fast-changing scale-up environment.

Location

Singapore-based; Candidates must have the legal right to work in Singapore at the time of application.

ST
Reg No. R1768414
BeathChapman Pte Ltd
Licence no. 16S8112