Build an LLM-based sales product, implementing AI features, architecture, integrations, and quality improvements with a cross-functional team. Remote work is available.
About this role
On the team building Loglass Management, the core enterprise management SaaS, this engineer contributes to a major re-architecture and domain redefinition for growing data volumes and complex use cases. The role leads feature development and improvement with product managers and domain experts, building a flexible platform linking granular customer data to financial statements. Responsibilities span design, implementation and operation of the data-processing and analytics platform, ongoing improvement, and performance and data-integrity assurance. AI is used from design through QA. The listed stack includes Go, Kotlin, Rust, React, Next.js, TypeScript, AWS, Kubernetes/EKS, Terraform and Aurora PostgreSQL; AI tools include Cursor and Claude Code. Applicants need about five or more years of server-side web application development experience, with any language; experience designing and implementing internal-system architectures involving inter-service communication; and experience making technical decisions, including selecting product-wide languages or tools. Database logical and physical design and performance-tuning experience is also required.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Manage a cloud management SaaS through user research, roadmap planning, feature development, and coordination with engineers and designers. Home working is available.
Lead new B2B SaaS product launches through customer discovery, MVP validation, KPI and roadmap planning, and early market rollout with cross-functional teams.
Leads product planning and hands-on development for DX SaaS and AI systems, using field research to shape product vision, roadmaps, prioritized features and ongoing improvements.
Lead digital marketing system projects for the Fast Retailing Group, from MarTech platforms such as CDP, MA and BI to marketing infrastructure for e-commerce platform rollouts.
Provide pre-sales technical consulting for Apple’s Business and Education customers, advising clients and reseller partners on technical architectures across macOS, iOS, iPadOS, and Windows.