Top Tech Jobs & Startup Jobs

Lead complex technical deployments for enterprise customers: build, deploy, and customize production solutions; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; partner with Product and Engineering; own projects from discovery through deployment and scale reusable solutions.

Build Pragmatike's outbound sales engine: define messaging, prospect, and generate meetings with startup founders, CTOs, and hiring leaders across Europe and North America. Work directly with founders to iterate playbooks, manage your own pipeline, and grow the business in a remote, high-ownership startup environment.

Drive outbound prospecting to generate new sales opportunities for early-stage startups. Build outbound strategy, messaging, and workflows; engage founders, CTOs, and hiring leaders via LinkedIn, email, and cold outreach; manage your pipeline and work closely with founders to convert prospects.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain production-grade React+TypeScript web interfaces for data-intensive, real-time AI products. Own end-to-end frontend features, optimize UI performance for large datasets, collaborate with design and backend teams, establish frontend best practices, improve architecture and tooling, and resolve production issues across browsers and devices.

The Principal ML Ops Engineer will design, implement, and scale ML infrastructure, focusing on optimizing AI systems, collaborating with teams, and establishing best practices for ML Ops.

Owner/implementer of end-to-end full stack features for data-intensive AI products: design and build scalable Node.js backends, REST APIs, and React+TypeScript frontends; optimize performance; establish testing, observability, and CI/CD; collaborate with product, design, and ML teams; debug and support production systems.

You will design, implement, and optimize NVIDIA CUDA kernels for AI systems, improve GPU memory pipelines, and profile workloads to enhance performance.

Design, build, and maintain scalable backend services and APIs using TypeScript and NestJS. Implement event-driven, high-throughput workflows, integrations, queues/workers, and observability; collaborate across teams and own projects from design to deployment.

The Senior Engineer will build and operate production infrastructure across AWS, GCP, and Azure, focusing on scaling, reliability, and performance for AI systems.