Design prototypes, analyze solutions, and implement research for AI-natives on blockchain. Collaborate with engineers to deliver production-grade systems.
About Ritual
About the roleRitual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.
Your responsibilities will include designing prototypes, analyzing solution trade-offs, formalizing technical decisions, and implementing novel research. You will work closely with engineers and operators with deep experience building and shipping products in the ML and blockchain space.
- Partner closely with Ritual product, and research teams to design prototypes and iterate with the engineering team towards production-grade solutions
- Review code and technical proposals with feedback for other team members
- Work in domains such as distributed/p2p systems, AI/ML, and blockchain/cryptocurrency
- Use tools and languages such as Python/Pytorch, Rust, GCP
- Use your experience to build, test, debug, and deploy large-scale decentralized systems across hundreds of nodes
- Be fluent in a systems’ language such as Rust, C, C++, assembly languages, shell scripting, DSLs etc
- Have a level of expertise in one or more of networking, distributed systems, storage, databases, operating systems, and runtimes to be able to read research papers in the field and design systems based on them
- Experience building and shipping production-level systems or applications; emphasis for systems involving ML or incentive design
- Strong communication and collaboration abilities
- Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure
- Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups
- Top 1% of benefits across the web3 startup space
- 100% of premiums covered on highest quality healthcare
- Aggressive company 401k match
- Fully remote and/or hybrid, up to you!
- Participate in virtual and in-person events
- Much much more!
Top Skills
Python,Pytorch,Rust,Gcp
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Design, implement, and maintain large-scale backend systems, focusing on network architecture, data pipelines, and AI integration for developer platforms.
Top Skills:
DockerGoKafkaKubernetesNatsNode.jsPulumiPythonTerraform
.jpeg)
Artificial Intelligence • Cloud • Enterprise Web • Productivity • Software • App development • Automation
As a Backend Engineer, you will design and develop core systems for AI applications, focusing on scalable architecture and user experience.
Top Skills:
AICGoPythonPyTorchTensorFlowWasm
Artificial Intelligence • Cloud • Mobile • Security • Software
Design, code, and operate high performance backend services and data processing systems primarily using Scala and AWS technologies.
Top Skills:
SparkAWSDynamoDBKafkaPostgresRedshiftScala
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
