Senior Full-Stack AI Platform Engineer

We are building an AI-powered data platform at P&G that transforms how individuals and 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.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 3+ years building production web applications with React and TypeScript.
• 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.

Nice to have:

• Experience with Power BI, semantic models, DAX, Power BI Embedded, or REST APIs.
• 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.

• 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 to ensure the platform is reliable, scalable, and maintainable.

Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.