Jobs at Pragmatike

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 high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

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.

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

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Design, build, and maintain TypeScript/NestJS backend services and scalable APIs. Implement event-driven, asynchronous processing with queues and workers, integrate third-party APIs and webhooks, and improve platform reliability through observability, performance optimization, and production troubleshooting. Collaborate cross-functionally, own projects end-to-end, and influence long-term architecture and developer experience.

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.

Lead product strategy and execution for AI-powered workplace experiences. Drive discovery, customer research, roadmap definition, and cross-functional delivery. Translate customer insights into product requirements, prioritize features balancing impact and feasibility, and measure adoption and business outcomes. Support GTM, enablement, and stakeholder alignment while monitoring AI and workplace technology trends.

Lead AI and digital workplace product strategy for an enterprise B2B SaaS platform. Conduct customer discovery, define roadmaps, write product specifications, prioritize features, and partner with Engineering, Design, Sales, and Customer Success to launch and measure AI-powered workplace experiences that improve knowledge access, productivity, collaboration, and automation while ensuring governance and security.

Lead product strategy and execution for AI-powered workplace experiences. Drive discovery, define roadmaps and requirements, collaborate cross-functionally, support GTM and measure adoption and business impact.

Lead product strategy and execution for AI-powered workplace experiences. Drive discovery, define roadmap and requirements, collaborate cross-functionally, support GTM, measure adoption and business impact, and ensure secure, governed enterprise deployments.

Lead product strategy and execution for AI-powered workplace experiences. Own discovery, roadmaps, specs, cross-functional delivery, customer validation, GTM enablement, and success metrics for enterprise SaaS products.

The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications.

Build and own responsive, high-performance React + TypeScript web applications. Design frontend architecture, reusable components, state management, and data-fetching. Collaborate with product and backend teams, optimize performance and accessibility, and improve developer tooling and workflows. Contribute across the stack when needed.

Design end-to-end web, desktop, and mobile product experiences. Create wireframes, prototypes, high-fidelity designs, and production-ready specs. Develop and maintain scalable design systems. Conduct user research, collaborate with engineers and product teams, define and deliver features, and influence product strategy while simplifying complex AI-enabled workflows.

Senior Full Stack Engineer (backend-focused) to design, build, and operate scalable backend systems and APIs, deliver full-stack features, improve reliability and observability, and contribute to architecture and technical strategy in a fast-paced startup environment.

The Founding Tech Recruiter will build recruiting systems from scratch, engage with the startup community, and recruit for various technical roles, directly impacting company growth.

Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript. Collaborate closely with product and AI/ML teams, ensuring performance optimization and a focus on high-quality code deployment.

Develop and maintain native Android applications, collaborate with teams to enhance product features, optimize performance, and ensure code quality.

The DevOps Engineer will design and maintain cloud infrastructure, improve reliability, manage CI/CD pipelines, and automate provisioning while enhancing collaboration with software engineers and focusing on operational excellence.