DysrupIT

Full-stack Engineer

• Build internal AI applications
• Write production-grade code and develop specific features for internal platforms
• Build backend services and integrate them with front-end interfaces for internal teams
• Connect proprietary data with LLMs using established APIs and emerging agent development frameworks
• Test and deploy code within existing cloud infrastructure
• Develop highly available, reliable, secure, and performant APIs, microservices, and internal web portals

Full Stack Engineer

AI Engineer

• Lead pre-contract technical solutioning and subsequent delivery, preserving continuity from proposal to production
• Split time approximately equally between client engagement and delivery, flexing with the pipeline
• Shape technical approaches, challenge problem statements and facilitate discovery workshops
• Produce target-state architectures, build sequences, proposal assumptions, exclusions, risks and defensible estimates
• Design four-to-six-week proofs of concept and serve as technical peer to client architects, data leaders and CIOs
• Own end-to-end architecture and, where required, lead delivery, scope, stand-ups and client technical activities
• Implement demanding components and reference solutions hands-on
• Deliver Databricks lakehouses, including medallion layers, Unity Catalog, Delta Lake, ingestion and orchestration
• Build production generative AI systems covering RAG, agents, evaluation, prompt/context engineering, cost and latency
• Set CI/CD, infrastructure-as-code, testing, observability and cost standards
• Mentor client engineers and manage production readiness and handover
• Turn delivery experience into reference architectures, accelerators, templates and estimation models
• Contribute to Frontier Academy and maintain current recommendations across Databricks, Microsoft and Anthropic
• Help shape and eventually lead a small delivery team, including recruitment

Full Stack Engineer

Data & AI Architect