Lead development of an AI-enabled Ethereum Layer 2 product: design front-end and back-end AI platforms, collaborate on data prep and model training, deploy scalable AI models, build data pipelines, and contribute to Web3 product innovation.
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
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead and transform Managed Services business operations across India, South-East Asia and Oceania. Design operating models, drive OHS/Target Zero programs, own financial planning and forecasting, coordinate workforce and capacity management, implement contract and performance governance, manage operational risk and compliance, drive customer satisfaction, and lead transformation, automation and people development for the Business Operations team.
Top Skills:
Ericsson Group Management System (Egms)
Financial Services
Lead solutions analysis and technical program delivery by translating business requirements into feasible technical designs, performing advanced data analytics, modeling integrations, mentoring team members, and promoting validated AI-assisted practices across projects.
Top Skills:
ChipsEnterprise AiEthereumFedwireHyperledgerIso 20022Smart ContractsSwiftTarget2
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Sell Datadog observability solutions to large enterprise accounts in Hong Kong: prospect Fortune 1000 companies, build and expand territory relationships and pipeline, negotiate contracts and pricing, manage customer expectations, and maintain accurate forecasts. Role requires regular client travel.
Top Skills:
DatadogIt InfrastructureObservabilitySaaS
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
