Senior Full-Stack Engineer
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Requirements
- Experience with Databricks, Spark, or similar data platforms,
- Experience with TanStack Start or similar full-stack React meta-frameworks (Next.js, Remix),
- Knowledge of vector databases (Pinecone, Weaviate, Azure AI Search) for retrieval-augmented workflows,
- Experience with Azure cloud services (Azure Containerized Apps, Azure App Service, Azure AI),
- Background in data engineering, pipelines, ETL, SQL.
Benefits
Additional Information
Job Location WARSAW PLANT & GO Job Description We are building an AI-powered data platform at P&G that transforms how individuals/teams interact with their data by moving beyond static dashboards to a conversational, action-oriented experience. The platform enables users to "chat with their data" against Power BI semantic models, Databricks, and other enterprise data sources. We are looking for a Senior Engineer to own the technical architecture and development of this platform from the React/TypeScript frontend to the LLM integration layer. You will also mentor junior developers and help grow the team's capabilities in modern web development and applied AI. Job Responsibilities: Architect and build a production-grade web application using React, TypeScript, and TanStack (Router, Query) as the unified interface for conversational data exploration and actionable workflows, Design and implement "chat with your data" features using LLMs (Azure OpenAI), streaming chat interfaces (e.g., Vercel AI SDK), and structured context management strategies to maintain accuracy across multi-turn conversations, Build LLM orchestration layers that manage context injection, prevent context degradation, and ensure high-quality responses as conversation complexity grows, Develop API services and server-side logic (TypeScript/Node.js, Python a plus) that orchestrate between the frontend, LLM providers, and enterprise data sources, Implement agentic AI patterns , function calling, tool use, and multi-step reasoning, to enable intelligent data exploration beyond simple Q&A, Translate business requirements into technical solutions by collaborating with analytics teams, data engineers, and business stakeholders, Lead and mentor junior developers, establish coding standards, code review practices, and a culture of continuous learning, Champion engineering best practices: CI/CD, Git-based workflows, testing, and secure development - ensuring the platform is reliable, scalable, and maintainable. Job Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, Experience with building production web applications with React and TypeScript , Experience with Power BI , semantic models, DAX, Power BI Embedded, or REST APIs, Hands-on experience with LLM integration , prompt engineering, context window management, multi-turn conversation orchestration, and streaming chat interfaces, Proficiency with LLM frameworks and tools : Vercel AI SDK, LangChain, Azure OpenAI / OpenAI APIs, or similar, Strong understanding of context management strategies , preventing context degradation over extended conversations through structured prompting, summarization, and selective context injection, Strong backend skills in Node.js and/or Python , building APIs, async workflows, and service integrations, Experience with state management and server-state patterns (TanStack Query, SWR, or similar), Demonstrated ability to lead and mentor junior engineers, Strong problem-solving skills and ability to work autonomously in ambiguous, fast-moving environments, Excellent communication skills, able to explain technical concepts to non-technical stakeholders.
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Company Intel
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