MORE THAN A ROLE Our role descriptions aren’t the norm. Your key responsibilities in the role are:

• 1) Model building and right-sizing Select, test and fine-tune open-weight and commercial models (LoRA, QLoRA, distillation, quantisation).
• Prepare training data with Data Engineers and right-size models for accuracy, latency and cost.

• 2) Agents and AI applications Build RAG pipelines and single/multi-agent workflows with tool use and MCP.
• Implement guardrails and integrate with client systems, data and identity.

• 3) Evaluation and quality Automate accuracy, groundedness, safety and bias testing on every change.
• Report honestly against agreed success criteria.

• 4) Production readiness and operations Deploy models and apps with Docker, Kubernetes, vLLM/Triton and CI/CD.
• Meet observability and run-readiness standards, then hand over and support early-life issues.

• 5) AI observability and DevOps Instrument models, RAG and agents with OpenTelemetry, feeding Ethan-A observability and ServiceNow.
• Monitor quality, drift, SLOs, cost and capacity, with full agent audit trails.
• Release safely (Terraform, Helm, GitOps, canary) and support SRE on AI incidents.

• 6) Proofs of concept and internal use cases Rapidly build POCs with the Principal AI Architect and AI tools for Ethan Global service delivery.
• Contribute reusable accelerators and templates.

• 7) Engineering practice Follow coding, testing and security standards, keeping client data in sovereign environments.
• Work as one team with vendor-panel engineers.

THE ABSOLUTES-MUSTS

• Degree in computer science, engineering, mathematics or a related field, or equivalent experience.
• Previous experience in software or Machine Learning engineering, including working knowledge of deep learning or LLMs.
• Experience deploying at least one model or AI application into production.
• Hands-on model fine-tuning and evaluation experience.
• Experience building RAG or agent solutions integrated with enterprise systems.
• Experience working in agile teams using code reviews and CI/CD.
• Experience instrumenting and supporting production services, including monitoring, alerting and incident response.