Senior Software Engineer

Software Engineer

Series-A AI Start-Up

Palo Alto (on-site)

Up to $300k base equity

Our client is an AI-focused company committed to reshaping enterprise-level access to unstructured data. Their advanced embedding and retrieval solutions are built for large-scale applications and designed to optimize intelligent data retrieval, enabling powerful low-latency performance across diverse industries. Join their team of experts from leading academic institutions and top tech firms to work on high-impact solutions that drive intelligent, enterprise-grade systems.

Job Description

As a Distributed Systems Backend Engineer, you’ll play a key role in building and scaling backend infrastructure that powers high-performance data embedding and retrieval systems. Your work will address complex engineering challenges in distributed computing, backend optimization, and large-scale data processing, all essential to enable quick, reliable, and cost-effective data access.

Key Responsibilities

• System Design and Development : Architect and implement scalable distributed systems to process and retrieve large volumes of unstructured data in real-time.
• Performance Optimization : Optimize backend infrastructure to support low-latency, high-throughput operations for enterprise data access needs.
• Cross-Functional Collaboration : Partner with machine learning engineers and data scientists to integrate advanced models into production applications, ensuring smooth scalability.
• System Reliability : Develop monitoring, alerting, and logging tools to maintain system robustness and enable rapid issue resolution.
• Continuous Improvement : Stay updated on advancements in distributed systems and apply best practices to refine and scale backend architecture.

Qualifications

Why Join Us?

If backend engineering and building scalable systems are your passion, we’d love to hear from you. Apply today to join a mission-driven team at the forefront of AI and distributed system innovation.

Salary : $300,000