Top Tech Jobs & Startup Jobs

Build and deploy LLM-powered systems for construction tendering workflows. Own AI features end to end, from models and agents through backend services, APIs, and TypeScript front-end integrations. Develop RAG, tool-use, reasoning, and evaluation systems; maintain production monitoring and alerting; and collaborate with Product, Engineering, and Data. The role requires strong Python, TypeScript, React, Node.js, backend engineering, and experience shipping AI features to production.

Own and improve the end-to-end analytics platform: build and test dbt models, maintain Looker dashboards, strengthen pipelines from Postgres to BigQuery, write Python automation and reverse-ETL integrations, and deliver reliable data to stakeholders and customers.

Leads and coaches a team of full-stack and AI/ML engineers while remaining 60–80% hands-on. The role includes coding in TypeScript, Node.js, and React; owning roadmap delivery and technical quality; reviewing code; guiding architecture; hiring; developing engineers; and partnering on team processes and platform direction. The manager also supports Agile delivery, CI/CD, AWS, Kubernetes, Terraform, and AI-assisted engineering workflows.

Own integrations product (REST API and connectors), work on-site with German customers to elicit requirements, prioritize and scope tickets, validate API endpoints, collaborate with Engineering, Customer Success, and Sales to enable seamless system connections.

The Senior Full Stack Developer will build and maintain complex web applications using TypeScript, Node.js, and React, taking ownership of features, collaborating with teams, and enhancing the product's AI capabilities.

As a Senior AI Engineer, you will develop AI agents, integrate features into a web app, enhance matching systems, and collaborate across teams to deliver ML solutions.

The Principal Full Stack Developer will lead architecture projects, mentor engineers, and ensure scalable product development while collaborating closely with the ML team.

Own day-to-day IT for a 100-person company: device lifecycle and MDM management, joiner/mover/leaver onboarding and offboarding, SaaS account and SSO administration, first-line IT support for hardware/software/connectivity, and collaborate with Security to implement policies and automate processes.

Design, prototype, and deploy end-to-end AI-driven automations using existing LLMs, RAG, vector DBs and orchestration tools (e.g., n8n). Partner with cross-functional teams to prioritize high-ROI opportunities, build modular workflows, establish governance/guardrails, and monitor ROI and reliability. Collaborate with CEO & CTO to align solutions with core infrastructure and enable non-technical teams to use automations.

Lead marketplace strategy for general contractors and subcontractors: own supply-demand dynamics, search/matching/recommendation systems, analyze marketplace metrics, and implement AI-driven matching with designers and engineers to improve relevance and bid rates.