Maintain a current-state map of the platform estate, including capability overlap, integration debt, and footprint reduction opportunities
Define integration standards and patterns for cargo systems, including airline connectivity (ONE Record, Cargo-XML, EDI), messaging, and API design
Set the data architecture for the cargo estate so that operational, customer, and commercial data flows are consistent and reusable across stations
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Plan the calendar, produce, and create engaging and creative content for different social media platforms to drive followership and conversion traffic to increase sales.
Create graphics and edit photos/video to create awareness and interest within our target audience, driving traffic to engage with digital content.
Suggest new innovative ways of delivering digital content and keep up-to-date with the latest digital marketing trends to brand's goals.
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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Drive proposal and tender quality - Author solution write-ups, bills of materials, and scopes of work that strengthen win rates, including submissions for regulated industries such as oil & gas.
Advise on IT and infrastructure integration - Guide client IT teams through deployment considerations including cloud vs. on-premise architecture, network and connectivity requirements, API integration, and dashboard/digital twin setup.
Build internal technical capability - Develop playbooks, FAQs, and training materials that raise the sales team's technical fluency and reduce dependency on ad hoc engineering support.
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Drive proposal and tender quality - Author solution write-ups, bills of materials, and scopes of work that strengthen win rates, including submissions for regulated industries such as oil & gas.
Advise on IT and infrastructure integration - Guide client IT teams through deployment considerations including cloud vs. on-premise architecture, network and connectivity requirements, API integration, and dashboard/digital twin setup.
Build internal technical capability - Develop playbooks, FAQs, and training materials that raise the sales team's technical fluency and reduce dependency on ad hoc engineering support.
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