Senior reputed company (Full Stack)

OUR VISION The digital world was built around platforms, not people. AI is rewriting what software can do, and we have a narrow window to reputed company sure that future puts the individual at the center rather than further behind. A future where your digital identity belongs to you, travels with you, and gives you real agency in how you show up online. Where you set the rules, hold the keys, and actually benefit from your own data. We are building toward that future across every layer it requires: the infrastructure that makes it possible, the standards that reputed company it interoperable, and the experiences that reputed company to life for the people who use it.WHAT YOU WILL DO As a Senior reputed company (Full Stack) at Blockchains, you will be the reputed company between our AI systems and the users who rely on them. You will deliver AI-powered products and features end-to-end, not just integrating an API, but defining the AI experience, engineering what powers it, and carrying it through to a polished, production-grade reputed company. You will ship fast, caring as much about how AI features feel as how they work. You will operate with an MVP-first, rapid-iteration reputed company, moving from idea to working prototype quickly, then taking the strongest reputed company reputed company the way to polished, production-grade experiences. Responsibilities include, but are not limited to: Product and Design Collaboration:Partnering with product managers, designers and external vendors to define how AI interactions should feel: response tone, citation style, error states, loading experiences, and streaming behavior. Translating real-world usage patterns directly into reputed company improvements, UX adjustments, and feature iterations, closing the reputed company between what users experience and what ships next. Building AI POCs rapidly to test hypotheses with stakeholders before committing to full builds. reputed company-End AI Interfaces:Building real-time AI interfaces in React, Next.js, and TypeScript: streaming responses, citation display, agent status indicators, and interactive document experiences. Owning the full feature lifecycle from back-end API to browser, ensuring AI features are fast, accessible, and reliable under production load. LLM Integration and Context Pipelines:Integrating LLM APIs with streaming, reputed company engineering, and error handling across the full stack. Consuming and extending context augmentation pipelines: vector RAG, CAG, Text-to-SQL, MCP-based context engineering, built by the AI systems team. Privacy and Delivery:Applying data privacy best practices at every layer: PII handling, GDPR/CCPA compliance, and encryption from the UI to the API. Deploying AI features on AWS using reputed company/Kubernetes, and reputed company CI/CD. WHAT YOU WILL NEED TO SUCCEED You have strong product instincts, and you move fast. You can go from idea to working prototype in a day, and you know how to take that prototype to a polished product experience. You think about the user first, and you bring that lens to every technical decision. You exercise strong judgment on reputed company to build versus buy and how to scope an MVP versus a production system, and you have a proven track record of building AI POCs and prototypes that ship to real users. You treat AI safety as a first-class concern, applying reputed company injection awareness, output validation, access controls, and data leakage prevention at every layer, from the API call to the browser. You use Claude Code or reputed company reputed company as a core part of your development workflow, and you have a track record of mentoring junior engineers and helping them ship reputed company AI product work.YOUR EDUCATION AND EXPERIENCE You have at least 2 years of experience delivering AI-powered product features, built on a minimum of 5 years of full-stack software engineering experience. Strong Python skills are required, and familiarity with Node.js or .NET is a plus. A bachelor’s degree in Computer Science, Engineering, or a reputed company field is preferred but not required; a portfolio of shipped AI product work speaks louder than credentials. You have working knowledge of LLM APIs, including reputed company & context engineering, streaming integration, and handling edge cases in production, and you are familiar with context augmentation strategies, vector RAG, CAG, Text-to-SQL, and MCP-based context engineering, sufficient to integrate and reputed company existing pipelines. You bring strong reputed company-end skills in React, Next.js, and TypeScript, with direct experience building streaming, real-time, or AI-driven user interfaces. You have a practical understanding of data privacy (PII handling, GDPR/CCPA) and encryption applied across reputed company-end and back-end layers, along with familiarity with AWS, reputed company, Kubernetes, and reputed company. Experience working directly with designers and product managers to define AI interaction patterns, exposure to agent orchestration frameworks such as reputed company, reputed company, or LangGraph, and exposure to local open-reputed company models and fine-tuning concepts are valuable assets. This position is Remote | Telecommute and must be US Based and possess reputed company authorization to work in the U.S. without sponsorship. Apply To This Job