Teams at Disseqt AI

Design, build, test, and maintain scalable backend services and APIs. Participate in architecture (LLD/HLD), debug production issues, implement observability and performance improvements, deliver features end-to-end, perform code reviews, and mentor junior engineers.

Lead pre- and post-sales technical deployments of a containerized Agentic AI platform for financial services clients. Design cloud and on-premise integrations, build Golang services and Python AI components, implement CI/CD and automated testing, manage MLOps workflows, troubleshoot production issues, and guide customers and partners. The role requires frequent onsite customer engagement across Ireland and the UK, technical leadership during complex deployments, and collaboration with engineering and R&D teams.

Lead and operate cloud, ML, and data infrastructure: design/scale AWS/GCP environments, Kubernetes and CI/CD platforms, MLOps and model serving, streaming/data pipelines, SRE and DevSecOps practices, cost optimization, and enterprise-grade delivery pipelines while hands-on leading a lean team.