Senior AI Engineer

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