Quantitative Developer (40-110$/hr, 100k-300k$/yr)

Batonics builds high-throughput quantitative trading and research platforms and AI agents for leading funds and institutions across Asia, the U.S., and Europe. Our products deliver advanced market-microstructure analytics, backtesting, portfolio and risk tools, and formal verification for low-latency systems merging high-performance computing, AI, and frontier quantitative research.We’re looking for a part-time engineer to help develop end-to-end quantitative trading and research systems including high-frequency trading (HFT) platforms.Process:Show me something you’ve built end-to-end (preferably using AI tools) and describe your stack. Send to ahmed@batonics.comInterview.Task(s) (1-2hrs)(Optional) Go head-to-head with me where we both tackle a multi-tier coding challenge (AI tools allowed).Follow-up chat.Decision.The key to this role is how effectively you use AI tools to automate your own workflow. I build AI agents to automate a lot of my workload, and expect you to do the same.Required:Proficiency using AI tools in software development, big plus if custom developed. If you show proficiency here through a past build, the rest is details. You don't neet to have domain knowledge in trading or finance.Preferred (I can teach some if needed):C++ and RustFPGA / Verilog, any expereince in the HFT exectuion stack is welcomeColo datacenter environmentsHigh-throughput data streams (TB/PB scale)L3 order-book data and FIX protocolVector databases, runtime parallelization, and compiler/runtime optimizationDetails:Remote work with occasional in-person meetingsHourly pay initially, scaling with workload and contribution