Full Stack AI Engineer
A stealth-mode startup headquartered in San Francisco is searching for a talented Full Stack AI Engineer to help build an AI-native data infrastructure platform. This is a remote role based in Vietnam offering the opportunity to work on a product that unifies global business data and delivers transformative insights through AI. As part of a small, agile team, you'll take on end-to-end responsibilities—from developing frontend interfaces and backend services to integrating machine learning models and orchestrating data pipelines. You’ll be immersed in core areas like platform engineering, AI integration, DevOps, and frontend visualization. This startup promises deep technical challenges, rapid execution, and the chance to shape a market-defining product.
Ideal candidates will have 3+ years of full stack development experience, with strong proficiency in Python, Node.js or Go on the backend and React/Next.js or related frameworks for frontend development. Familiarity with modern cloud platforms (AWS, GCP, Azure), DevOps tools (Docker, Kubernetes, CI/CD pipelines), and data engineering principles is essential. A solid understanding of managing structured/unstructured data and integrating with APIs is required. Bonus skills include knowledge of LLMs, Snowflake, BI tools, or prompt engineering. Passion for high-impact development, startup agility, and AI-driven innovation is a must.
This opportunity is ideal for builders who are energized by startup culture and ready to own their work. You’ll collaborate with engineers and data scientists to create systems that empower businesses to make smarter, AI-enabled decisions. Apply now to be a key player in a venture with bold ambitions and cutting-edge tech.
About the Role
We are building an AI-native data infrastructure platform that ingests data from any business system (CRM, ERP, HRMS, POS, cloud apps, APIs, data streams), unifies it, and unlocks transformative business insights through AI.
We’re looking for a Full Stack AI Engineer who understands modern DevOps and infrastructure best practices. You'll be pivotal in designing, building, and scaling both the frontend and backend of our AI-powered data platform. You’ll work across data ingestion pipelines, dynamic schema generation, data lake/warehouse architecture, and AI model integration.
Key Responsibilities
Platform Engineering:
- Build scalable backend services to support data ingestion, transformation, and retrieval from hundreds of APIs and streaming sources.
- Design and maintain a distributed data architecture that can handle structured and unstructured data at scale.
AI & Data Integration:
- Work closely with data scientists and ML engineers to operationalize models that provide actionable business insights.
- Integrate AI services (LLMs, predictive analytics, clustering, anomaly detection) into the core product.
Frontend Development:
- Build intuitive user interfaces that allow business users to explore and interact with their data and AI-generated insights.
- Create visualization components for dashboards, alerts, and recommendation engines.
DevOps & Infrastructure:
- Implement CI/CD pipelines, container orchestration (Docker/Kubernetes), and infrastructure-as-code (e.g., Terraform).
- Ensure platform reliability, observability, and scalability through monitoring, alerting, and automated testing.
Data Pipeline Orchestration:
- Use tools like Airflow, dbt, or similar to manage data pipelines and transformations.
- Manage real-time and batch data ingestion from third-party APIs (REST, GraphQL, Webhooks, SFTP, etc.).
What We’re Looking For - Must-Have Skills:
- 3+ years experience as a full stack engineer in data-heavy environments
- Strong in Python, Node.js or Go, and React/Next.js or similar frontend framework
- Experience with cloud infrastructure (AWS, GCP, or Azure)
- Familiarity with DevOps tools: Docker, Kubernetes, CI/CD (GitHub Actions, CircleCI, etc.)
- Solid understanding of data engineering concepts: ETL/ELT, stream processing, database design
- Experience working with APIs and building connectors to 3rd-party platforms
- Ability to deploy and scale AI/ML models into production
Bonus Points:
- Experience with Snowflake, BigQuery, Redshift, or similar cloud data warehouses
- Exposure to LLMs and prompt engineering
- Familiarity with business systems: Salesforce, Netsuite, Workday, Shopify, etc.
- Experience building no-code data query layers or self-service BI tools
- Experience deploying MCP servers
- Experience leveraging vibe coding tools to 10x efficiency
Why Join Us
Work on a product with massive scope – unify the world’s business data and democratize AI-powered decision-making
Startup agility with deep tech challenges – perfect for engineers who want ownership and impact
Modern stack – cloud-native, API-first, AI-embedded, built for scale
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