Senior Software Engineer - Agentic AI Analytics (Rust / Data Systems) in Los Angeles
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Job DescriptionJob Description
Title: Senior Software Engineer – Agentic AI Analytics (Rust / Data Systems)
Location: Glendale, CA – structured hybrid (in-office component required)
Compensation: 200,000 – 240,000 base + equity/benefits (DOE)
***NO C2C OR VISA CANDIDATES CAN BE ACCCEPTED***
Our client is building the next of AI-powered analytics so brands can finally see, in real time, which advertising actually works and why. This Senior Software Engineer role sits directly with the CTO on a highly visible initiative to build an agentic, AI-driven analytics engine from the ground up using Rust, Java, and modern OLAP concepts.
If you like owning hard performance problems, designing columnar/vectorized systems, and shipping code that powers decisions for the world's biggest brands, this is a true impact seat, not a maintenance job.
Why this role
- Direct access to the CTO and a small, senior team driving our core AI analytics strategy, not a side project.
- Greenfield build of an Advanced Analytics Engine with vectorized query processing, columnar storage, and OLAP capabilities aimed at sub-second performance on marketing datasets.
- Heavy Rust and Java engineering with deep performance tuning, profiling, and hardware-aware optimization on large-scale cloud- data systems.
- High-growth, ad measurement / analytics space with massive data volume, where your work shapes how brands, agencies, and media companies measure outcomes.
- Structured hybrid in Glendale, CA with strong comp, equity, and full benefits, plus a culture that emphasizes performance, learning, and fun.
Ideal candidate snapshot
- 12+ years total software engineering, including 5+ years architecting or building high-performance data/analytics or OLAP systems; 3+ years hands-on, production Rust, ideally having come from Java.
- Deep knowledge of columnar data engines, vectorized execution, query/dataframe optimization, and performance engineering at the system and hardware levels.
- Strong AWS experience (designing, deploying, and optimizing scalable data and compute systems in the cloud).
- Systems thinker who sees software, data, and infrastructure as one cohesive system; comfortable in fast-moving, startup-like environments.
- Solid statistics / data analysis foundation; bonus for exposure to AI-driven analytics and engines like Apache DataFusion, DuckDB, ClickHouse/chDB, or for refactoring large brownfield systems.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.