[Remote] Senior AI Engineer (Full Stack)
Note: The job is a remote job and is open to candidates in USA. Blockchains, Inc. is focused on creating a digital future where individuals have control over their digital identities. As a Senior AI Engineer (Full Stack), you will bridge AI systems and user interactions by delivering AI-powered products and features, ensuring they are polished and production-ready while collaborating with product managers and designers.
Responsibilities
- 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 prompt improvements, UX adjustments, and feature iterations, closing the loop between what users experience and what ships next
- Building AI POCs rapidly to test hypotheses with stakeholders before committing to full builds
- 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
- Integrating LLM APIs with streaming, prompt 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
- 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 Docker/Kubernetes, and GitLab CI/CD
Skills
- At least 2 years of experience delivering AI-powered product features
- Minimum of 5 years of full-stack software engineering experience
- Strong Python skills
- Working knowledge of LLM APIs, including prompt & context engineering, streaming integration, and handling edge cases in production
- Familiarity with context augmentation strategies, vector RAG, CAG, Text-to-SQL, and MCP-based context engineering
- Strong front-end skills in React, Next.js, and TypeScript
- Direct experience building streaming, real-time, or AI-driven user interfaces
- Practical understanding of data privacy (PII handling, GDPR/CCPA) and encryption applied across front-end and back-end layers
- Familiarity with AWS, Docker, Kubernetes, and GitLab
- Proven track record of building AI POCs and prototypes that ship to real users
- Ability to go from idea to working prototype quickly
- Strong product instincts and user-first mindset
- Ability to exercise strong judgment on when to build versus buy and how to scope an MVP versus a production system
- Experience mentoring junior engineers and helping them ship better AI product work
- Treat AI safety as a first-class concern, applying prompt injection awareness, output validation, access controls, and data leakage prevention
- Familiarity with Node.js or .NET
- Bachelor's degree in Computer Science, Engineering, or a related field
- Experience working directly with designers and product managers to define AI interaction patterns
- Exposure to agent orchestration frameworks such as LangChain, LlamaIndex, or LangGraph
- Exposure to local open-source models and fine-tuning concepts
Company Overview
Company H1B Sponsorship