Lead development of an AI-enabled Ethereum Layer 2 platform: build front-end and back-end systems, deploy and optimize AI models, create data pipelines, collaborate on model training, and contribute to product innovation and other company projects.
We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.
Key Responsibilities
- Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
- Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
- Deploy AI models into production environments, ensuring performance, scalability, and reliability.
- Develop and maintain data processing pipelines to ensure data quality and consistency.
- Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
- Contribute to other projects based on the company’s product development progress
Requirements
- Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- 5 years of full-stack development experience, proficient in both front-end and back-end technologies.
- Expertise in front-end and back-end technologies (especially Golang)
- Eager to explore and could use new technologies related to AI that help improve working efficiency
- Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
- Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
- Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.
Preferred Qualifications
- Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
- Experience in deploying and optimizing AI agent
- Experience contributing to open-source projects
- Build high-performance APIs and microservices to support large-scale Web3 application
- Familiarity with large-scale data processing technologies such as Hadoop or Spark.
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Leads Motive’s internal communications strategy, narrative, and cadence across company-wide forums, executive messaging, video, Slack, intranet, email, and other channels. Advises executives, supports crisis and change communications, aligns internal and external messaging, measures employee sentiment, and improves engagement programs. The role also partners with Corporate Communications, Legal, and People teams and mentors communications talent while remaining an individual contributor.
Top Skills:
Ai-Enabled ToolsEmailIntranetSlackVideo Communications
Beauty • Robotics • Design • Appliances • Manufacturing
Provides Tier 1 IT support for global associates, troubleshooting Windows and macOS endpoints, networks, identity and access, Microsoft 365, and software issues. Manages onboarding, offboarding, endpoint provisioning, and device administration using Intune, Autopilot, and Jamf. Documents resolutions, supports major incidents, escalates complex issues, and improves support processes. Requires up to 10% domestic and international travel and occasional after-hours support.
Top Skills:
Active DirectoryConfluenceiOSJAMFJira Service ManagementmacOSMicrosoft 365Microsoft Entra IdMicrosoft IntuneWifiWindowsWindows Autopilot
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Owns new-logo acquisition and expansion across enterprise accounts for Mastercard Identity’s fraud and identity data products. The role prospectively builds pipeline, manages consultative and technical sales cycles, engages fraud, payment risk, trust and safety, data science, and engineering stakeholders, represents the company at industry events, and accurately forecasts against quota.
Top Skills:
APIsData ScienceFraud ModelsIdentity DataWeb-Based Portals
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
