Staff Software Engineer (Rust & AI)

AI Powered LLC
Los Angeles, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 240K

Job location

Los Angeles, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Apache HTTP Server
Profiling
Information Engineering
Data Infrastructure
Distributed Data Store
Distributed Systems
Online Analytical Processing
Open Source Technology
Query Optimization
Software Engineering
Low Latency
Data Management
Legacy Systems

Job description

This role sits at the center of a highly strategic initiative to build a new AI-native analytics engine from the ground up. You will work closely with executive engineering leadership and a team of highly skilled engineers to architect and build an advanced data platform that combines high-performance analytics infrastructure with agentic AI capabilities. The work involves designing systems capable of processing large-scale marketing and behavioral datasets with extremely low latency while enabling intelligent systems to autonomously explore data and generate insights., * Architect and build a high-performance analytics engine featuring columnar storage, vectorized query execution, and OLAP-style analytical capabilities

  • Design and develop an agentic AI framework that leverages the analytics engine to autonomously explore datasets and generate insight
  • Build scalable systems capable of processing large marketing and behavioral datasets with sub-second performance
  • Partner with product, engineering, and data teams to deliver AI-driven analytics capabilities that surface actionable insights automatically
  • Profile, benchmark, and optimize system components for maximum throughput and low latency
  • Architect and deploy scalable analytics infrastructure in a cloud environment
  • Drive architectural direction across the broader data platform ecosystem
  • Collaborate cross-functionally with product and data engineering teams to integrate analytics capabilities across multiple products
  • Mentor engineers and promote best practices in performance engineering, distributed systems design, and scalable architecture
  • Contribute to internal frameworks or open-source projects related to analytics systems and distributed computation

Requirements

  • 12+ years of professional software engineering experience
  • 5+ years designing or building large-scale data platforms, analytics engines, or distributed data systems
  • 3+ years of hands-on experience developing in Rust in a production environment
  • Strong expertise with both Rust and Java, ideally with experience transitioning high-performance systems from Java to Rust
  • Deep experience building large-scale OLAP or analytics systems from scratch
  • Strong understanding of columnar data engines, vectorized execution, and query optimization techniques
  • Hands-on experience with performance engineering, system profiling, and hardware-aware optimization
  • Expertise designing and operating large-scale data and compute systems in AWS
  • Strong understanding of statistics, data analysis concepts, and analytical workloads

Preferred Experience:

  • Experience with AI-driven analytics platforms or autonomous data exploration systems
  • Familiarity with open-source analytical engines such as DuckDB, Apache DataFusion, ClickHouse, or similar technologies
  • Experience modernizing or refactoring large legacy systems
  • Experience contributing to open-source projects related to distributed systems or data infrastructure
  • Experience operating in fast-paced, high-growth technology environments

Benefits & conditions

  • Opportunity to build a next-generation AI-native analytics platform from the ground up
  • Highly strategic engineering initiative with direct exposure to executive leadership
  • Work on technically challenging problems at the intersection of AI, distributed systems, and large-scale analytics
  • Collaborate with experienced engineers and data infrastructure specialists
  • Build systems designed to operate at massive data scale and extremely high performance
  • Strong engineering culture focused on innovation, technical depth, and measurable impact

Benefits and Perks:

  • 100% employer-covered medical, dental, and vision coverage for employees
  • Competitive dependent healthcare coverage
  • Equity participation through stock options
  • 401(k) retirement plan
  • Generous PTO policy
  • Paid parental leave
  • Disability and life insurance coverage
  • Flexible hybrid work environment
  • Catered meals and stocked office kitchen
  • Team offsites and company social events
  • Commuter benefits and health FSAs
  • Employee counseling and wellness services

About the company

A fast-growing data and analytics technology company is building a next-generation AI-powered analytics platform that helps global brands understand consumer behavior and advertising performance at massive scale. The organization combines large-scale data infrastructure with advanced machine learning to deliver real-time insights that power smarter decision-making.

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