Lead design and implementation of AI platforms (front-end and back-end), collaborate on data preprocessing and model training, deploy and optimize AI models to production, build data pipelines, integrate AI with Web3/Ethereum Layer 2, and contribute to related company products and 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
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
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Own new-logo acquisition and expansion across enterprise accounts for Mastercard Identity. Prospect independently, build qualified pipeline, manage consultative and technical sales cycles, and sell identity data solutions to fraud, payment risk, and trust and safety leaders. Navigate technical and business stakeholders, collaborate with Mastercard teams, represent the company at industry events, forecast accurately, and deliver against quota.
Top Skills:
APIsIdentity DataWeb-Based Portals
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Owns new-logo acquisition and expansion across enterprise accounts, selling Mastercard Identity’s API and identity data products to fraud, payment risk, and Trust & Safety leaders. Responsibilities include prospecting, independently building pipeline, managing consultative and technical sales cycles, multi-threading opportunities, navigating business and technical buyers, representing the company at industry events, and accurately forecasting against quota.
Top Skills:
APIsWeb-Based Portals
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
