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
Digital Media • Information Technology • News + Entertainment
Field-based enterprise sales role responsible for developing territory strategy, prospecting and acquiring mid-market and multi-location enterprise customers, delivering face-to-face presentations, managing relationships, meeting financial targets, and coordinating with internal teams. Requires knowledge of managed services, networking technologies, and strong sales, communication, and customer-retention skills.
Top Skills:
23)Business ContinuityCustomer Premise Equipment (Cpe)CybersecurityDisaster RecoveryEthernetInternet TechnologiesLanManNetwork SecurityNetworking Protocols (Layers 1SdwanVoipVpnWanWdm
Digital Media • Information Technology • News + Entertainment
Drive territory strategy and acquire/retain mid-market and enterprise multi-location customers through direct and partner channels. Prospect, deliver face-to-face presentations, negotiate deals, meet/exceed sales targets, and coordinate internal teams to ensure service and operational excellence. Maintain sales records, stay current on competitive landscape and network technologies, and support customer retention.
Top Skills:
23)Business ContinuityCustomer Premises Equipment (Cpe)CybersecurityDisaster RecoveryEthernetInternet TechnologiesLanManNetwork DesignNetwork SecurityNetworking Protocols (Layers 1SdwanVoipVpnWanWdm
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and manage a team of mid-market Account Executives: set targets, recruit and onboard, coach and mentor, develop strategic sales plans, collaborate with cross-functional teams, analyze sales data, and drive revenue growth and process improvements.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


