Remote Software engineering Jobs • Python

Seeking a Senior Software Engineer to join the Video Encoding and Delivery team with Fandango at Home, where you will contribute to the systems that ingest, encode, package, and deliver premium video content. Focus on developing and optimizing video ingestion, encoding, packaging, and validation services, ensuring efficient, secure, and reliable video delivery. Work closely with the team’s Principal Engineer and collaborate across engineering, infrastructure, and quality domains.

Lead the development and production releases of robust, observable and intuitive solutions and workflows for healthcare Audit product lines. Manage and grow a team of developers who own the backend services and tools for Machinify’s Audit product. Develop plans and track production features for on-time quality releases.

Immunefi is seeking a skilled and autonomous Machine Learning Engineer to enhance their capabilities in leveraging data and developing advanced AI agents. This role will involve working closely with data, designing machine learning structures, and contributing to the development and refinement of AI agents, particularly using Large Language Models (LLMs).

Join VetsEZ to support the Data Migration & Syndication effort within the Electronic Health Record Modernization Integration Office (EHRM-IO). As a .Net Developer, you’ll design and develop secure software solutions using C#, .NET Core/Framework, ASP.NET, MVC, and modern front-end frameworks. You’ll develop, test, deploy, and maintain applications, APIs, and interfaces, ensuring code quality and security while staying current with new technologies.

As a Software Engineer II, you will be responsible for designing, developing, and maintaining complex software systems. This role involves working on more advanced projects compared to entry-level positions and requires a deeper understanding of software engineering principles. In this role you will also mentor other less experienced engineers.

Help lead the architecture, development, and deployment of production-grade AI systems. Work with data science, product, engineering, and operations teams to design workflows that will enhance the experience of our members and internal users. If you’re a hands-on engineer with deep expertise in machine learning systems and a pragmatic approach to delivering value quickly in a startup environment, let’s talk!

Join a small, fast-moving 0-to-1 team to leverage AI and early-stage startup approaches to develop and ship innovative experiences. You'll collaborate with customers to rapidly prototype, test, and ship AI-driven features, design and implement features leveraging RAG, and own end-to-end feature development.

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.

You'll focus on feature flag SDKs, used in server-side apps and infrastructure to power flag evaluation, improving SDKs that developers enjoy using by making them fast, reliable, and feel native no matter the tech stack. You'll work closely with backend, infra, and product teams to ensure SDKs remain robust and delightful, while also finding ways to support more languages more efficiently.

We are seeking a passionate and skilled Machine Learning Engineer to join our forward-thinking team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive key business decisions and enhance our product offerings. You will work closely with data scientists, data engineers, and software developers to integrate machine learning solutions into our existing systems.