Full Stack Engineer

Position Overview

We are seeking a Senior Data Scientist / AI Full-Stack Engineer to design, build, and scale AI-powered analytics and application platforms. This is a hybrid role that blends data science with modern full-stack development (React/Next.js/Svelte + Node.js), with AI/ML — including natural language querying and RAG — woven through both the backend and the customer-facing product experience. You'll build the data pipelines and AI capabilities that power the platform, and ship the application layer end to end.

Key Responsibilities

AI / NLP / RAG

• Design and implement natural language querying interfaces over data ("ask a question → generate query → return visualization")
• Build and maintain RAG pipelines, vector search, and semantic query systems using LLMs (Claude or similar)
• Develop prompt engineering strategies and continuously improve AI output accuracy and relevance
• Integrate AI/ML capabilities into customer-facing UI to create smarter, adaptive user experiences

Data Science & Engineering

• Develop and maintain SQL and Python logic for data processing and analysis
• Integrate and normalize data from multiple sources (logs, APIs, databases, surveys)
• Ensure data accuracy, consistency, and performance optimization
• Implement data quality validation and monitoring processes

Full-Stack Application Development

• Architect, build, and scale the front-end application layer using React.js, Next.js, or Svelte
• Build backend services and APIs using Node.js (or FastAPI)
• Design and implement dynamic, user-configurable dashboards and visualizations (charting libraries such as ECharts, Recharts, D3, or BI tools) with filtering, drill-down, saved views, and export (PNG/CSV/PDF)
• Ensure platform is built for extensibility, performance, and long-term scalability

Delivery & Collaboration

• Deliver iteratively using Agile/SAFe methodologies (PI planning, epics/features/stories, sprint execution)
• Maintain documentation: data architecture diagrams, AI workflow and prompt design docs
• Collaborate cross-functionally with program leadership, business stakeholders, and platform engineering; translate business needs into implemented solutions
• Support platform evolution and integration with enterprise tools (e.g., Databricks, Collibra)

Required Qualifications

• 8–15 years of professional experience spanning data science and full-stack software development (exact range flexible depending on candidate strength across both sides)
• Expert-level proficiency in one or more modern UI frameworks: React.js, Next.js, or Svelte
• Strong backend experience with Node.js (or FastAPI/Python backend frameworks)
• Advanced SQL and strong Python for data processing and analysis
• Demonstrable hands-on experience with LLMs, prompt engineering, RAG, and/or vector search — not just conceptual familiarity
• Modern JavaScript (ES6+), TypeScript, HTML5, CSS3
• Experience with state management, build tools (Webpack/Vite), and testing frameworks
• Solid understanding of both SQL and NoSQL database technologies
• Experience with a major cloud platform (AWS, GCP, or Azure) and CI/CD pipelines
• Experience working in Agile and/or SAFe environments

Preferred Qualifications

• Experience building AI-powered natural language querying or "ask your data" style features in production
• A portfolio or examples of shipped AI-integrated features (chatbot, recommendation engine, NLP, computer vision, etc.)
• Familiarity with AI-specific libraries/frameworks (LangChain, TensorFlow.js)
• Exposure to Databricks and/or ETL/data pipeline frameworks
• Experience with SvelteKit
• Experience with performance monitoring/observability tools
• Knowledge of web security best practices
• Prior tech lead or architectural ownership role