$ cat jobs/software-engineer-full-stack-financial-technology-partners-872af77f236f.json
Software Engineer (Full Stack)
Software Engineer, San Francisco Hybrid FT Partners is looking for a skilled Software Engineer who is knowledgeable in building high quality impactful applications and well versed in AI development methodologies. FT Partners is an investment bank headquartered in San Francisco focusing on brokering FinTech transactions. We are looking to bolster our engineering team located in our San Francisco office. You will be helping build FT Base, our firm's digital backbone which manages our data ecosystem, project lifecycles, AI Agents, and proprietary CRM. It's built in Python, Django (DRF), Typescript, React, PostgreSQL. It's a mission critical application with heavy usage on a constant basis. It also powers an MCP server to provide data and interactivity to employees through enterprise AI tooling. We are looking for people who can produce stable features without racking up technical debts, and can help organize, consolidate, and strengthen our suite of software for sustained impact. Qualifications Experience requirements, either: 2 years as a Software Engineer in a web application environment OR 2 years as a Software Engineer and reputable boot camp certification OR Computer Science degree (4 year) and some projects or work experience to show Python, Typescript, APIs, Git and web application system design concepts Please note: we are unable to offer visa sponsorship for this position. Key Responsibilities Immerse yourself in the context and business requirements of each of our system's many functional areas Execute on instructions to build new things, or improve, refactor, clean up or delete features Make recommendations on progressing projects you are close to, sometimes in growth, sometimes in simplification, sometimes in aligning with other areas of the system Help review applications prototyped outside of the engineering department, and help steer, rebuild, or secure these AI Qualifications Strong A.I. prompt-driven development abilities, backed by technical understan
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