As a Full Stack Engineer specializing in Palantir Foundry and the Artificial Intelligence Platform (AIP), you will be at the forefront of the next generation of enterprise software. This role requires a blend of traditional full-stack engineering, understanding of data engineering, and cutting-edge AI implementation. You will design, build, and deploy end-to-end applications that transform complex data into autonomous, AI-driven decision engines.
Core Responsibilities:
Full Stack Development & AIP Integration
End-to-End Application Engineering: Build and maintain robust applications within the Palantir Foundry environment, utilizing TypeScript, React, and Python to deliver seamless user experiences.
AI Ecosystem Integration: Leverage the complete AIP ecosystem to embed generative AI and machine learning functionality directly into operational workflows.
LLM Orchestration: Integrate advanced language model capabilities through AIP Logic and AIP Assist to automate complex reasoning tasks.
Frontend Excellence: Create high-performance, interactive UIs using React, CSS Modules, GraphQL, and Palantir's Blueprint component library to bridge the gap between technical data and non-technical users.
AI Platform Innovation
Generative AI Implementation: Lead the development of generative AI solutions using Palantir AIP, including advanced prompt engineering and LLM workflow design.
Autonomous Systems: Design and build autonomous decision-making systems that reduce manual intervention and enhance operational efficiency.
Hybrid Intelligence: Create "intelligent" applications that combine traditional deterministic data processing with modern probabilistic AI capabilities.
Security & Governance: Ensure all AI-driven automation adheres to strict data security, privacy, and governance standards within the Foundry ecosystem.
Technical Qualifications
Foundry Expertise: Deep experience with Palantir Foundry (Ontology, AIP, Workshop, Pipeline Builder).
Frontend: Expert-level React and TypeScript skills; familiarity with the Blueprint UI toolkit.
Backend & Data: Proficient in Python and Spark/PySpark for large-scale data manipulation.
AI/ML: Proven experience implementing LLM-based solutions, RAG (Retrieval-Augmented Generation), and AIP Logic.
Additional inputs
Candidate must have strong hands-on experience with Foundry and be able to clearly explain the implementation of projects in Foundry
Know how data flows into the Ontology and how it is used downstream
hands-on experience with AIP or agentic workflows
well versed in Ontology and other Foundry tooling
Please screen the candidates and only top-notch ones should be presented. We do not have time for multiple candidate screenings.
