Remote Software engineering Jobs • LLMs

Build AI-powered agentic workflows to transform construction planning and scheduling. Design intelligent automation systems, conversational interfaces, and autonomous agents using Python/Golang, LLMs, and agent frameworks like Langchain. Create robust backend services and integrate AI APIs into construction workflows.

This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems.

In this role, as a Senior AI Engineer, you will design, develop, and deploy AI-powered solutions that enhance automation, scalability, and intelligence across payment systems. You will work on cutting-edge applications that leverage large language models (LLMs), cloud services, and modern DevOps practices. Collaborating with cross-functional teams, you will help shape the future of payment technology by bringing advanced AI solutions into production at scale.

At Apiphani, we’re building the future of infrastructure automation through agentic AI. This platform powers intelligent copilots, agentic workflows, and eventually fully autonomous remediation for enterprise IT. As a Senior Software Engineer, you will extend a terminal-based client application to bring AI-powered insights and contextual awareness into SSH/Putty sessions and build and scale Go-based services that collect telemetry and metadata from servers.

As a Senior Applied AI Engineer, you will design and deliver new AI-powered experiences for our customers, while reimagining how we build and ship our own products, using your skills to build and ship AI-powered features that enhance customer workflows, improve how we work through smarter dev tools, and smoothly deploy systems by collaborating with engineers, PMs, designers, and content specialists to bring ideas to life.

As a Machine Learning Engineer on Plaid’s Fraud Data team, you’ll play a key role in shaping the future of fraud prevention. You’ll develop new features and machine learning models that enhance the accuracy and effectiveness of our fraud detection systems, while building reliable data and model pipelines to power both experimentation and production workflows.

Build products utilizing Python, FastAPI, GraphQL, and Typescript while working directly with Autonomous Agents, LLMs and ML models to drive innovation. Partner cross-functionally with product managers, designers, stakeholders, and other engineering teams to ensure that we build the right things the right way. Embrace scale and speed throughout the development lifecycle.

As a Software Engineer, you’ll help build and improve these systems alongside experienced engineers, designing, testing, and shipping features that put AI safely into production at global scale. You will Build and integrate AI-powered backend features that adapt and learn in production, extend APIs and data workflows that connect models to real users, and apply best practices in prompt design, orchestration, and RAG.

This is an exciting opportunity to join Honeycomb as a Senior AI Engineer II and shape the future of developer tools with AI at the core. You’ll lead high-impact projects, mentor teammates, and help define what great AI at Honeycomb looks like. You will own end-to-end implementation of AI-powered product features, handle prompt engineering, and collaborate with product and design partners to create AI-driven experiences.

As an ML Engineer, you’ll be provided with all opportunities for development and growth. Comfortable with standard ML algorithms and underlying math, and possess strong hands-on experience with LLMs in production, RAG architecture, and agentic systems. Let's work together to build a better future for everyone!