GenAI Systems Architect – LLM & RAG in Production

TECHKNOWLEDGEY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TECHKNOWLEDGEY PTE. LTD. is seeking a Deep Learning Architect with 3–4 years of experience to design and build production-grade GenAI systems. You will guide architecture decisions, review system designs, and contribute to end-to-end LLM and RAG pipelines with a strong emphasis on production readiness.

You will pre-train and fine-tune LLMs using CPT, SFT, LoRA, and QLoRA for client-specific use cases, and optimize models for latency and cost while ensuring robust deployment and governance.

Qualifications

• 3–6 years of ML engineering, LLMs, or model development roles.
• Hands-on pre-training/fine-tuning with CPT, SFT, LoRA, or QLoRA.

Responsibilities

• Design end-to-end LLM system architecture for production use.
• Pre-train, fine-tune LLMs and domain models for client use cases.
• Design and run model evaluation pipelines to benchmark performance and cost.
• Optimise latency, throughput, and inference cost in production.
• Integrate fine-tuned models into multi-agent pipelines.
• Implement prompt versioning and monitoring for reliability.

Skills

Python programming

LLM/transformer knowledge

Model evaluation pipelines

Production readiness

Troubleshooting and debugging

Tools

Bedrock

OpenSearch

AWS Lambda

ECS/EKS

Job description

TECHKNOWLEDGEY PTE. LTD. is seeking a Deep Learning Architect with 3–4 years of experience to design and build production-grade GenAI systems. You will guide architecture decisions, review system designs, and contribute to end-to-end LLM and RAG pipelines with a strong emphasis on production readiness.

You will pre-train and fine-tune LLMs using CPT, SFT, LoRA, and QLoRA for client-specific use cases, and optimize models for latency and cost while ensuring robust deployment and governance.