Overview
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Lead practical R&D initiatives in Generative AI (GenAI), focusing on real-world use cases and measurable impact.
Build and ship full-stack features using FastAPI, Angular, and AWS, owning the process from commit to production.
Make key technical decisions, drive architectural discussions, and mentor other engineers through code reviews and system design.
Responsibilities
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- Lead practical R&D initiatives in Generative AI (GenAI), focusing on real-world use cases and measurable impact.
- Build and ship full-stack features using FastAPI, Angular, and AWS, owning the process from commit to production.
- Make key technical decisions, drive architectural discussions, and mentor other engineers through code reviews and system design.
Qualifications
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- Proactive in leveraging Generative AI tools to improve development workflows with measurable impact (not just buzzwords).
- Strong interest in finance, markets, or investing (e.g., equities, ETFs) with a willingness to develop domain expertise.
- Strong proficiency in Python and TypeScript, with 5+ years of experience delivering production software.
- Hands-on experience with a major cloud platform (ideally AWS).
- Excellent communication skills, able to explain concepts and decisions clearly to both technical and non-technical audiences.
- Strong sense of ownership, demonstrating initiative, independence, and the ability to carry work from problem to solution.
- Nice to have: Experience with microservices architecture.
- Nice to have: Familiarity with containerization (Docker, Kubernetes). xayajpt
- Nice to have: Experience with the Angular frontend framework.
- Nice to have: Experience with Infrastructure as Code tools such as Terraform and/or AWS CDK.
