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
eCommerce • Enterprise Web • Information Technology • Software • Database • Analytics • Business Intelligence
Leads technical strategy for complex enterprise sales opportunities across the Americas. Designs solution demonstrations, architectures, proof-of-concepts, and ROI-based value propositions for digital analytics and agentic AI solutions. Partners with account executives, customer success, product, and engineering; manages executive stakeholders; mentors Solutions Engineers; leads RFP responses; and influences the product roadmap. The role requires 20–25% travel and strong web technology, presentation, and enterprise pre-sales expertise.
Top Skills:
Agentic AiAndroidCSSEnterprise Data ArchitectureHTMLiOSJavaScriptSalesforce
Fintech • Hardware • Payments
Manages and grows a portfolio of software partners within REPAY’s Consumer Payments division. Responsibilities include executive relationship management, partner health monitoring, renewals, contract negotiations, upselling, cross-selling, enablement, product adoption, issue escalation, CRM management, reporting, and revenue forecasting. The role partners cross-functionally with Sales, Product, Engineering, Operations, Sales Engineering, and Technical Account Management to improve retention, partner satisfaction, and payment volume growth.
Top Skills:
AchAPIsElectronic Payment Processing PlatformsIvrPartner Management PlatformsSalesforce
Fintech • Hardware • Payments
Designs, builds, and operationalizes production data science, machine learning, generative AI, and LLM systems. Responsibilities include data and AI pipelines, predictive models, RAG applications, experimentation, MLOps, model serving, monitoring, governance, cloud migration, and business analytics. The role partners with Product, Engineering, BI, and Data teams to translate business problems into scalable AI solutions and measurable product or operational improvements.
Top Skills:
AWSAws BedrockAws SagemakerAzureCi/CdDatabricksLlmsMlopsNlpPythonRagSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
