The ML Platform team is on a mission to build the core infrastructure that powers Affirm's intelligence, using machine learning to assess and approve each BNPL transaction. As a Software Engineer II, you will break down projects into individual tasks, collaborate with product management, design, and analytics, support operations and availability, and contribute to the team community.

As a Software Engineer within the Trailmaker development team, you will work closely with other team members to architect and build new features in order to increase the number of engaged users of the platform. Each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.

As a Senior Engineer, you build the systems and services behind the Clarifai magic, focusing on the development of the model workflow engine and Retrieval Augmented Generation (RAG) systems. This role enables customers to perform automated tasks and synthesise internal information using LLMs and other models.

The ML Platform team is on a mission to build the core infrastructure that powers Affirm's intelligence. You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.

Manage software engineers on the Flex Billing & Backend team, extending the feature set offering and overall solution reach of Flex. Own and deliver delightful experiences for Twilio customers; champion team success. Understand complex distributed systems in cloud environments and advocate agile processes and test automation. Solve problems strategically and use strong communication skills across teams.

Contribute to the development of the Everywhere Inference platform — a Kubernetes-based solution enabling scalable and portable AI inference across a wide range of environments. Depending on your strengths, you may write efficient Go code to build and enhance Kubernetes controllers, operators, and core infrastructure; focus on packaging and integrating new ML models into the platform, using Python and common ML frameworks. Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling. Stay current with trends in Kubernetes, machine learning, and MLOps, and help drive innovation within the platform.

Cresta's AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. This role involves hands-on work on cutting-edge projects, requiring innovative and passionate software engineers who can bring research into practical, scalable applications. As a Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions.

Manage and implement business knowledge and technical skills, deploying and managing production systems, and supporting environments with emphasis on engineering backend and PaaS-focused products and services. Develop new applications and services using a combination of C#, Ruby, microservices technology, Azure PaaS offerings, and other technologies as appropriate.

You'll join a team of engineers across Frontend, Backend, SRE and QA, organized into cross-functional development teams. You will work on building tools, APIs and integrations for one of our products using Elixir and Phoenix with a Postgres database. The company values a supportive and kind work environment, challenging dogmas and pursuing innovation!

As a Senior Software Engineer at Hypori you will work across the entire technology stack to design, implement, and maintain API-based services for cloud-hosted SaaS environments. In this role, you'll have end-to-end ownership of projects from conception to deployment, creating scalable and efficient applications while providing technical leadership to Hypori’s engineering teams.