Find Your Next Software Engineering Role Faster

AI Engineers will design, build, and scale production-ready AI and Generative AI solutions that solve real business challenges for PA Consulting’s clients. The role combines hands-on software engineering with client advising across LLM, RAG, agent-based, and cloud-native applications.

Lead AI-powered quality engineering for the my.harvard portal by building intelligent agents that generate, validate, and continuously improve automated tests. The role combines Python test automation with RAG, LLMs, and agentic workflows in a hybrid Harvard IT environment.

Lead enterprise AI and machine learning initiatives that improve site reliability, operational efficiency, and product development across AWS. The role combines ML model development, scalable AI pipelines, Generative AI, and strategic stakeholder influence.

Senior Full Stack Engineer building modern healthcare applications and integrating AI-powered features, agents, and intelligent workflows. The role spans frontend, backend, cloud-native operations, and LLM-based product development for doctors and clinics.

Build the core intelligence systems for IONOS’s multimodal customer-care AI platform, spanning agentic workflows, RAG, real-time voice, and LLM orchestration. You will develop low-latency services that retrieve context, invoke tools, evaluate quality, and resolve customer needs across text and voice.

Design and industrialize advanced Generative AI and agentic solutions as a Senior Consultant.e, building scalable platforms, multi-agent architectures, and RAG pipelines across cloud and on-premise environments. The role combines hands-on engineering with project leadership, team development, client advisory, and contribution to the firm's AI offering.

Senior Software Engineer building full-stack platform capabilities and generative-AI agent infrastructure for Google’s Core team. The role combines architectural leadership, human-in-the-loop interfaces, scalable APIs, and production automation across frontend and backend systems.

Support the development and improvement of applied AI solutions for fashion and digital commerce, from prototyping through deployment. This entry-level role offers hands-on exposure to LLMs, RAG, AI agents, data foundations, and AI-powered applications while working with experienced technical and business teams.