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
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads global communications strategy for Mastercard’s Commercial and New Payment Flows business. Responsibilities include executive profiling, internal and external communications, media relations, digital and social activation, storytelling, events, product launch messaging, regional coordination, stakeholder advising, and communications measurement. The role builds relationships with financial services, payments, technology media, influencers, and analysts while strengthening Mastercard’s reputation and supporting senior leadership.
Top Skills:
Communications Measurement ToolsDigital AssetsDigital PaymentsSocial Media
Fintech • Machine Learning • Payments • Software • Financial Services
Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.
Top Skills:
AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchVectordbs
5 Hours Ago
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science for consumer and developer experiences, partnering with engineers and product managers to deliver customer-focused products. Builds, evaluates, validates, and deploys machine learning models using large-scale numerical and textual data. Applies statistical modeling, A/B testing, clustering, classification, sentiment analysis, time series, and deep learning while translating technical insights into business outcomes. The role also includes team leadership, talent development, and evaluating emerging AI and cloud technologies.
Top Skills:
SparkAWSCondaGenerative AiH2OMachine LearningPythonRRelational DatabasesScala
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
