AI-Powered Trading Systems Engineer

2 weeks ago


pushkar, India beBeeBackend Full time

AI-Powered Trading Systems EngineerWe're seeking an experienced engineer to join our team in designing and scaling production-level backend systems for AI-driven trading automations, copy-trading groups, referral rewards, and intelligent onchain infrastructure.The ideal candidate will have a proven track record of mentoring and up-leveling engineers, with mastery of distributed systems, cloud architecture, and high-performance services. They will also have deep experience with blockchain development, including onchain APIs, transaction processing, and scaling decentralized systems.A true 0→1 builder's mindset is essential, with the ability to create systems and processes from scratch in a high-ambiguity environment. Experience with CI/CD, observability, containerization, and modern development practices is a must.Key Responsibilities:Design and develop scalable backend systems for AI-powered trading applications.Collaborate with cross-functional teams to integrate AI inference and intelligence layers into production-grade products.Develop and implement monitoring, troubleshooting, and resolution strategies for critical incidents.Drive long-term stability improvements and optimize system performance.Requirements:7+ years of hands-on experience building and scaling production-level backend systems.Proven experience as Tech Lead (or similar leadership role) in a startup environment.Master's degree in Computer Science or related field (or equivalent experience).Deep knowledge of blockchain development, AI/ML pipelines, and modern development practices.Ability to work in a fast-paced environment and adapt to changing requirements.Benefits:Highly competitive compensation package.Stock options program and token upside.Company laptop and home office equipment allowance.Health insurance.About Us:We are a dynamic team working on cutting-edge technology to revolutionize the financial industry. We prioritize innovation, collaboration, and continuous learning.



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