Design and build LLM-powered AI agents and multi-agent workflows using tool calling, planning, memory, and other agentic capabilities.
Develop Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, vector search, and re-ranking.
Integrate LLMs through cloud APIs and self-hosted inference platforms such as vLLM, with consideration for latency, cost, scalability, and performance....
Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers....
Accelerate your backend expertise by delivering services using PHP frameworks like Laravel or Hyperf and by designing resilient MySQL schemas with Redis caching for performance.
Expand your AI skills through hands-on integration of LLMs, RAG patterns and agent orchestration in production use cases.
Build stronger deployment and release instincts by owning CI/CD pipelines, monitoring and runbooks that keep services stable at scale....
Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation)....
Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers....
Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation)....