Remote Software engineering Jobs • LLMs

We’re hiring an AI Architect to lead the development of next-generation AI solutions. This is a senior-level, hands-on architecture role focused on designing scalable, production-grade systems for LLMs, agentic workflows, recommendation engines, multimodal models, and real-time AI services. You’ll set architectural direction, mentor teams, contribute to presales efforts, and drive applied innovation.

As Associate AI Engineer Director, you will play a pivotal role in defining and delivering the architecture, strategy, and execution of advanced GenAI systems. You will lead the technical direction of the AI engineering function, ensuring cross-team alignment and driving long-term roadmap planning. In this leadership role, you will architect complex, scalable GenAI pipelines, guide technical design across squads, and influence executive-level decision-making around AI strategy, tooling, and infrastructure.

We are seeking highly motivated Computer Science engineering interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance our FP&A (Financial Planning & Analysis) platform. This is a unique opportunity to gain hands-on experience at the intersection of AI and enterprise automation.

The Senior Developer at Founders Workshop helps clients bring their visions to life by leveraging technological skills and working with the project team to create innovative software. This role requires strong attention to both the "bigger picture" and the "fine details", balancing cost, quality, and the need to move quickly. They use requirements from product manager to develop features that clients will love and carefully analyze requirements and test scripts.

Apply cutting-edge AI/ML tools from industry leaders to build solutions that deliver compounding value for developers helping secure their software from vulnerabilities introduced by dependencies. The goal is to cut through the noise and make it easy to find and remediate the 2% of vulnerabilities that are actually reachable given the way our customers’ use their dependencies.

We're looking for a Senior Fullstack Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. This is an exciting opportunity to work in a “startup within the startup.”

Weave is looking for a Backend Engineer to help eliminate one of the biggest bottlenecks of drug development: regulatory development. Every phase of a drug’s lifecycle requires extensive documentation to be submitted to the FDA. We’re bringing the whole process together, supported by LLMs, so teams can collaborate and accelerate their regulatory processes. From six months to six clicks.

A hands-on Senior AI Engineer is needed to develop innovative solutions using state-of-the-art language models (LLMs), with a special focus on Java code generation, intelligent automation, and integration with our banking applications. Responsibilities include building, testing, and scaling robust generative AI-based applications, with a focus on efficiency, governance, and innovation. Your code can be generated by AI, but your vision is unique.

Support AI-driven tool development and R&D efforts, playing a key part in building scalable systems and driving operational excellence. Help ensure our cloud infrastructure enables fast, reliable shipping and iteration of machine learning solutions. Focus on building and scaling backend infrastructure, optimizing cloud environments, and enabling ML teams to deploy models more efficiently.

The AI Engineering Leader has a pivotal role in our organization, responsible for guiding the team that develops enterprise-level solutions aimed at scaling and automating value-driven outcomes for our business. The leader will oversee all aspects of AI engineering, from conceptualization to deployment, ensuring the delivery of cutting-edge solutions that meet both business and technical requirements.