Software Engineering Analyst (AI Prompt Engineer)

Design and deploy GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices.

Requirements

• Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs.
• Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions.
• MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability.
• Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability.
• Analyse business requirements, design and implement solutions.
• Develop applications in coordination with stakeholders and subject matter experts.
• Follow Software Development LIfecycle (SDLC) processes and support continuous improvement culture.
• Ensure solutions meet customer needs within scope, schedule, and budget.
• Escalate complex issues promptly and adhere to company methodologies.
• Ensure compliance needs are met and customer impacts are assessed, while providing support during testing, handover, and post-implementation.
• Estimate effort, report progress, and manage activities within budget.
• Maintain accuracy and timeliness of output.
• Mentor junior engineers and transfer knowledge effectively.
• Identify and assess risks within your subject matter area, lead risk-related dialogue as the SME for that domain, and support stakeholders in making informed, risk-based decisions.
• Mitigate risks in delivery while keeping to agreed plan and timeframes.