Senior AI Engineer

aryan solutions pte. ltd.

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Job summary

aryan solutions pte. ltd. in Singapore seeks an AI Engineer with 5 years of hands-on experience across Python, data engineering, LLM engineering, and responsible AI, to build scalable AI platforms and production-grade services.

You will work with modern tools (Spark, Databricks, Kafka, Kubernetes) and advanced model deployment, RAG, and agent-based systems, delivering reliable, compliant AI solutions that scale across data ecosystems and cloud environments.

Qualifications

  • 5 years of experience as AI Engineer or equivalent.
  • Hands-on with Python in production-grade AI systems.
  • Experience building large-scale data pipelines and LLM workflows.
  • Exposure to model deployment, monitoring and governance.

Skills

Python & Software Engineering
Data Engineering
LLM Engineering
Agentic AI
RAG & Search
Model Deployment & Inference
AI Platforms & MLOps
Cloud AI
AI Security & Governance
AI Evaluation & Optimisation

Tools

Spark
Databricks
Kafka
Delta Lake
Parquet
Kubernetes
GPU infrastructure
MLflow
CI/CD
llama.cpp
vLLM

Job description

5 years of experience as AI Engineer using:

Python & Software Engineering - production-grade services, APIs, distributed systems and strong engineering fundamentals

Data Engineering - Spark, Databricks, Kafka, Delta Lake, Parquet and large-scale data pipelines

LLM Engineering - OpenAI, Claude, Gemini, Llama, Qwen and other frontier/open-weight models

Agentic AI - AI agents, tool calling, multi-agent systems, MCP and emerging agent-to-agent architectures

RAG & Search - embeddings, vector databases, hybrid search, reranking and enterprise knowledge systems

Model Deployment & Inference - vLLM, llama.cpp, Kubernetes, GPU infrastructure and high-throughput inference

AI Platforms & MLOps - MLflow, model registries, evaluation, observability, CI/CD and automated deployment

Cloud AI - AWS, Azure or GCP AI/ML platforms and large-scale cloud-native architecture

AI Security & Governance - model security, prompt-injection defence, access controls, guardrails and responsible AI

AI Evaluation & Optimisation - eval frameworks, fine-tuning, LoRA/QLoRA, quantisation, latency and cost optimisation

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