Lead design and implementation of AI platforms (frontend and backend), collaborate on data preprocessing and model training, deploy scalable production models, build/maintain data pipelines, integrate AI with Web3/Ethereum Layer 2, and contribute to broader company products.
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
Enterprise Web • Hardware • Internet of Things • Software
Serve as the technical advisor for assigned manufacturing accounts, driving adoption of Tulip's no-code platform through architecture guidance, integrations, workshops, and cross-functional collaboration to ensure customer success and growth.
Top Skills:
APIsDatabasesMesNo-Code/Low-Code PlatformsSystem IntegrationsTulip
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead change management for the S4/o9 transformation across MEU Demand Planning. Partner with senior leaders to design change strategies, assess impacts, deliver training (TNA, curriculum, localization, train-the-trainer), build change capability, manage stakeholder engagement, and track KPIs to drive adoption and measure effectiveness.
Top Skills:
Integrated Business Planning (Ibp)O9 PlanningSap S/4Hana
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Natural Language Processing • Software
Source and engage high-potential prospects via email, Zoom and social channels; qualify buying interest; hand off qualified leads to Account Executives; maintain prospect data in Salesforce; represent Smartling at events and build product and market knowledge to support acquisition.
Top Skills:
LinkedInOutreachSalesforceZoom
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
