Remote Software engineering Jobs • US

As an RPA Software Engineer, you will collaborate with coworkers to deeply understand customer needs, design intelligent automation systems that solve real-world problems, and build best-in-class automation solutions. You will own the scoping, design, and development of RPA solutions and automation workflows. You will also develop intelligent bots and automation scripts to streamline tax compliance processes.

We are seeking a Senior AI Engineer, Agent Orchestration to lead the development of next-generation agentic systems that infuse Generative AI into every layer of the software delivery lifecycle. This is a hybrid role that blends full-stack engineering (Kotlin + TypeScript) with LLM systems design, focused on transforming developer workflows, CI/CD pipelines, observability, and runtime operations through AI-native automation.

Architecting and optimizing scalable systems in a cutting-edge field. You’ll join a tight-knit, deeply collaborative team that’s powering enterprise mobility, high-volume data flows, and dynamic business logic across industries. You’ll be designing scalable systems, safeguarding sensitive data, and solving tough distributed systems problems that keep global operations running seamlessly.

Leverage AI to detect bugs, security vulnerabilities, and ship features rapidly. Empower our product, design, and engineering teams to bring AI to our customers. Iterate quickly to keep up with the pace of changes in AI research, ensuring the best experience possible within the crypto industry.

Our engineering team's surface area of products / projects is growing rapidly, and we need more senior engineers that can own product areas end-to-end. You might be building medical record review software, designing intake flows and marketing systems, or improving and expanding our client-facing app. Your work will directly impact whether we win cases and help people get the compensation they deserve.

We are looking for a product-oriented Staff Software Engineer to help us advance the use of our clinical AI by building a design system and component library for user-facing products. This role presents complex clinical data and insights in an intuitive interface; a track record working with product managers and subject matter experts is required to distill complex requirements into incrementally valuable plans to build well-tailored software systems.

You'll be at the forefront of deploying AI agents that address real-world challenges, working closely with customers and software and machine learning engineers. The role involves developing intelligent AI agents, integrating them seamlessly with external systems, and offering hands-on technical support to ensure successful deployments and requires strong engineering skills, adaptability, and customer engagement.

Drive the deployment and use of cutting-edge Conversational AI solutions in customer environments. Join a world-class Customer Success team, where each individual loves to move fast, be challenged, and is constantly looking for opportunities to make customers successful. This involves setting up integrations to customer’s systems, designing and implementing Robotic Process Automation (RPA), and running health checks. Lead the charge in defining best practices for customers to get the most out of our AI solutions.

This software engineering position will reside on a Payments Engineering Team, enabling HackerOne to move money between customers and hackers in a compliant, flexible, and safe manner. This role primarily focuses on the back-end, but having some front-end experience would be helpful. You'll be expected to work on backend-heavy payment processing code and touch the frontend occasionally.

Engage in a highly collaborative team environment where you will deliver software following best-practice principles using Agile methodology. Build and maintain full-stack enterprise technology solutions that scale and represent our brand to our users. Partner with our Product team to identify opportunities to streamline how we create, structure, and deliver content. Integrate with third party tools and our internal Data teams to facilitate critical feature experimentation and sharpen the content we provide.