AI Engineer

• Lead implementation of AI, GenAI, ML, automation, and AI-powered applications
• Translate solution designs and requirements into development plans and working software
• Drive engineering delivery aligned with the target architecture
• Guide development teams on coding, integrations, testing, and operational readiness
• Build GenAI and agentic solutions using RAG, embeddings, vector search, prompt engineering, tool calling, and workflow orchestration
• Implement AI safety, quality controls, testing, and evaluation frameworks
• Design and develop APIs, backend services, integrations, cloud-native components, and supporting front-end functionality
• Lead code quality, reviews, CI/CD, documentation, and engineering best practices
• Support deployments, monitoring, troubleshooting, performance optimization, and operational handover
• Develop secure integrations with enterprise systems, data platforms, and business applications
• Build cloud-native AI solutions, preferably on Azure AI services and platform components
• Use AI-assisted development tools responsibly, ensuring human validation of outputs
• Mentor engineers, coordinate technical delivery, and communicate progress, risks, and decisions to stakeholders.

See all jobs on JobTailor

Lead AI Engineer