Applied AI Engineer

About the role

We are seeking a Applied AI Engineer with 3–4 years of experience to help design and build production-grade GenAI systems. In this role, you will contribute architecture coverage across the team—reviewing system designs, identifying gaps, and guiding technical decisions at the solution level.

What you'll do

• Design and contribute to end-to-end LLM system architecture for real-world enterprise use cases (from requirements to production)
• Pre-train, fine-tune LLMs and domain-specific models using techniques such as CPT, SFT, LoRA, and QLoRA for client-specific use cases
• Design and run model evaluation pipelines to benchmark performance, accuracy,and cost across different fine-tuning approaches
• Optimise models for latency, throughput, token efficiency, and inference cost in production environments
• Work alongside agent orchestration and architecture teams to integrate fine-tuned models into multi-agent pipelines

What you need

• 3–6 yrs of experience
• Machine learning
• LLMs
• AWS
• Python
• Elasticsearch
• Data structures
• Any graduate

Good to have

• Docker
• Kubernetes
• System design