Remote Software engineering Jobs • LLM

Help build and improve our Gen AI platform and products such as "Ask Canva" our user-facing chatbot that provides detailed user support using cutting-edge LLM techniques along with deep integration of our systems using tool calling to truly delight our users by instantly answering a complex question about their Canva account and by automating common support requests.

At HackerOne, artificial intelligence is being combined with human intelligence to create security platforms so organizations and developers can create more secure software and defend against emerging threats. As a Software Engineer on the AI Platform team, you'll be at the forefront of developing AI-powered security solutions that protect organizations from emerging threats.

Build agentic AI systems that solve real-world connectivity and support problems through planning, tool use, and multi-step reasoning. Lead the effort in evaluating LLM usage for safety, correctness, hallucination, contextual relevance, and performance—ensuring the right model is used for the job. Design robust prompts and workflows to support voice and text-based interactions across a wide variety of customer environments.

Join us as a Backend Software Engineer on the Gateway team and shape its future by building the software stack that drives it. In this role, you will design and develop core functionalities, iterate quickly based on feedback from our developer community, and write clear documentation and examples. You will work with Golang and Python to tackle complex technical problems.

We’re looking for an AI Engineer to help build scalable AI-powered systems using Large Language Models (LLMs) for document understanding, retrieval-augmented generation, and intelligent classification tasks. This is a hands-on role ideal for someone who thrives on shipping real-world AI applications. You’ll play a key part in designing and optimizing LLM pipelines that drive smarter workflows, improve automation, and enhance the customer experience.

Hiring the first AI Automation Engineer to lead how AI is applied internally across Numeral. This is a rare opportunity to build the foundation for AI-assisted operations and tooling across every function of the company — from tax ops and onboarding to engineering and GTM. The role will work across the company to identify bottlenecks and build pragmatic, AI-powered solutions that unlock efficiency, precision, and scale.

Play a key role in designing, building, and maintaining AI-powered enterprise applications. Work closely with product managers, designers, and engineers to deliver innovative software solutions that solve high-stakes problems for our customers. The primary focus will be on Screens, an AI-powered contract review application, where cutting-edge techniques using LLMs, RAG, and AI agent frameworks are applied.

Join a cutting-edge team at the forefront of revolutionizing payment systems using advanced AI technology for automation and augmentation. This role offers a unique opportunity to contribute to the development, deployment and enhancement of AI-powered solutions within the payment industry. As a key member of the team, you will have a direct and impactful role, potentially shaping the trajectory of the company.

Contribute to designing, building, evaluating, shipping, and improving Sword’s products through hands-on GenAI implementation and integration. Develop and maintain applications and services that leverage large language models, vector databases, and other generative AI technologies. Implement prompt engineering strategies, retrieval-augmented generation (RAG) systems, and other GenAI patterns to solve real business problems.

Support cargo.one in building intelligent systems that streamline workflows, enhance decision-making, and unlock automation across the business. You'll operate independently, often owning a problem from initial conversation to deployed solution. You’ll engage directly with non-technical stakeholders to scope needs, explore opportunities, and rapidly deliver solutions using Python, AI/LLMs, and lightweight web tools or APIs.