About Lexful
AI-First SaaS Venture - Ground Floor Role. Build the future. Shape an industry. Start today.

We're a well-funded venture studio startup creating an AI-native SaaS solution that will fundamentally disrupt an established market. Led by an industry visionary, we're not iterating, we're building a revolutionary 0-1 product that others haven't dared to pursue.

Why This Matters:

• Pre-funded with strong studio backing.
• Stealth mode with enormous ambitions.
• Category-defining opportunity at the ground level.
• Work with industry veterans and category creators.
• Shape an entire market segment.

Ready to turn visionary concepts into market-changing reality? This is your chance to get in at the beginning of something extraordinary.

Build intelligent data systems that power breakthrough AI experiences. Design infrastructure that learns and adapts with user behaviour.

Role Summary

Reporting into the Chief Product & Technology Officer, were seeking a Senior Data Engineer to lead the creation of a modern, AI-powered data foundation from the ground up. In this role, youll shape how data flows, is processed, and powers intelligence across the organization - combining real-time processing, scalable architecture, and advanced AI pipelines. This is an opportunity to build at 0-to-1 scale, applying deep expertise in the modern data stack to deliver secure, reliable, and future-ready systems that drive innovation.

What You'll Do

• Architect scalable and resilient systems for data orchestration and AI workflows.
• Build and maintain data pipelines for ingestion, transformation, and analytics.
• Design and implement APIs to support real-time inference, data services, and integration with AI models.
• Develop efficient storage, caching, and data retrieval strategies across structured and unstructured data.
• Build observability and monitoring solutions to ensure data quality and track AI model performance.
• Ensure enterprise-grade security, reliability, and compliance across the data stack.
• Create self-improving data systems that evolve based on usage patterns and feedback loops.

Must Haves

• 5+ years of experience in data engineering.
• Proficiency in Python, Go, and/or Java.
• Proficiency in API development using REST, GraphQL and/or gRPC.
• Experience in real-time data processing and streaming systems with distributed, event-driven architectures.
• Hands-on experience with modern data storage and processing (e.g. SQL, NoSQL, Data Lakes).
• Proficiency in ETL/ELT and orchestration tools (e.g. Apache Kafka, Airflow, Spark, Databricks).
• Experience in AI/ML model inferencing and context engineering.
• Deep understanding of data governance, security, lineage, and compliance.

Nice to Haves

• Knowledge of vector databases, embedding techniques, and document chunking for retrieval-augmented generation (RAG) systems.
• Experience fine-tuning and customizing machine learning or foundation models.
• DevOps and Infrastructure as Code (IaC) experience.
• Mobile backend services and API development.

Why You'll Love It

• Build data systems that power revolutionary AI applications.
• Work with novel data patterns created by AI-native workflows.
• Design infrastructure that enables AI capabilities others can't match.
• Direct impact on AI model performance and user experience quality.

What We Offer

• The chance to be a founding team member, shaping the company's product vision and culture.
• A competitive salary and meaningful equity ownership in a pre-funded, high-growth startup.
• Top of the line benefits package including 100% employer paid extended health and dental for you and your family.
• A fully remote, flexible work environment with autonomy and ownership.
• The opportunity to work on cutting-edge technology with a strong product-market fit.
• A team that values collaboration, innovation, and continuous learning.

Ready to Apply?
If youre excited by the idea of building AI-powered systems from the ground up and making a real impact at a ground-floor startup, wed love to hear from you. Apply today and join us in shaping the future of AI.