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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Innovation Delivery Platform Developer - **Company:** Kirkland and Ellis - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $176,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Business Software, Computer Programming, Continuous Integration, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Performance Tuning, Salesforce.Com, Software Engineering, SQL Databases, TypeScript, Google Cloud, Cloud Platform System, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Pyspark, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=eb11c4f7226c9f94 ## About the Role * Education: Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. * Experience: 3+ years of software, data, or analytics engineering experience, including data modeling, Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines, and large-scale integrations. * Palantir expertise: Hands-on experience building and deploying solutions on Palantir Foundry and/or AIP, including pipelines, ontology modeling, and application development in production environments. * AI and machine learning capabilities: Experience developing production-ready generative AI and LLM-powered solutions, including prompt engineering, model deployment, evaluation frameworks, and guardrails. * Technical proficiency: Strong programming skills in Python, PySpark, SQL, TypeScript, and React, along with experience working in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). * Engineering excellence: Proven ability to deliver reliable, scalable solutions through testing, observability, CI/CD, performance optimization, and technical documentation. * Ownership mindset: A self-directed approach with the ability to drive decisions, solve complex problems, and manage products through their full lifecycle. * Preferred strengths: Experience with Palantir certifications, AIP Agent Studio, Retrieval-Augmented Generation (RAG), agentic workflows, MLOps or LLMOps practices, enterprise integrations, and secure handling of sensitive data. Familiarity with legal or professional services technology is a plus. If you're excited to build AI-powered products, own solutions from concept to production, and help redefine how complex professional work gets done in this Platform Developer, Innovation Delivery role, we'd love to hear from you! ## Description * Build AI-powered solutions: Develop and support Artificial Intelligence Platform (AIP) workflows that leverage Large Language Models (LLMs) for drafting, extraction, analysis, and other high-impact business processes. * Design data models and pipelines: Create and maintain Foundry Ontology objects, actions, functions, and production-grade data pipelines using Python, PySpark, and Structured Query Language (SQL). * Develop business applications: Build operational applications in Workshop and create custom user experiences using the Ontology Software Development Kit (OSDK) with TypeScript and React. * Integrate enterprise systems: Connect Foundry solutions with key business platforms including iManage, Intapp, Salesforce, matter management systems, and external data sources. * Scale solutions into production: Strengthen prototypes through testing, monitoring, Continuous Integration and Continuous Deployment (CI/CD), performance optimization, and documentation. * Drive secure innovation: Implement data governance, auditability, access controls, and confidentiality safeguards to support sensitive business environments. * Own products end-to-end: Take responsibility for workflow lifecycle management as solutions transition from implementation to long-term operational ownership. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)