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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Agentic AI Platform - **Company:** Cloudera, Inc. - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** HTML, Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Services, Microsoft Azure, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cascading Style Sheets (CSS), Cloud Computing, Relational Databases, Distributed Data Store, Distributed Systems, Memory Management, High-Level Architecture, Apache Hive, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, OpenShift, Redis, Tensorflow, Standard Sql, Cloudera, Software Engineering, SQL Databases, Google Cloud, Cloud Platform System, Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Software Application Programming, Generative AI, HybridCloud, Backend, Containerization, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Front End Software Development, Virtual Agents, Grpc, Docker, Microservices - **Published:** August 19, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/16645929?backUrl=%2Fcareer%2F16645929%2FStaff-Software-Engineer-Enterprise-Ai-Platform-Texas-Austin ## About the Role * Experience: 8+ years of software engineering experience building scalable backend microservices and distributed systems. * Core Languages: Deep expertise in Python Go, Java, or C#/C++, along with gRPC and SQL. * Cloud & Containerization: Extensive hands-on experience designing and developing microservices on Kubernetes, plus expertise in at least one major cloud platform (AWS, GCP, or Microsoft Azure). * Agentic Frameworks & Evaluation: Proven experience with open-source agentic frameworks((e.g., LangGraph, AutoGen, CrewAI) and evaluation tooling (LangSmith/Langfuse or Phoenix). * Agentic & Generative AI Mastery: Proven experience building applications utilizing advanced LLM orchestration paradigms (e.g., ReAct loops, planning/reflection frameworks, multi-agent systems) alongside standard foundational models, prompt engineering, and RAG architectures using vector databases (e.g., Pinecone, Milvus). * Memory & State Infrastructure: Deep understanding of caching layers, relational databases, and vector databases optimized for agentic state persistence and memory retrieval. * System Design: Demonstrated ability to go deep into complex distributed systems, crafting both high-level architecture and low-level technical designs. * Education: BS/MS in Computer Science, Software Engineering, or a related field (or equivalent professional experience). * Soft Skills: Self-driven with a strong sense of ownership, paired with excellent written and verbal communication skills. Bonus Points (Preferred Experience) * AI/ML Orchestration: Experience with ML orchestration and serving software ( KServe, Knative). * Big Data: Familiarity with distributed data technologies like Apache Spark, Hive, etc. * Full-Stack Exposure: Experience with React, HTML, and CSS to better collaborate with UI teams. * Data Science Ecosystem: Experience building applications alongside data scientists using tools like Python, TensorFlow, PyTorch, MLflow, or R. * Agile Environments: A proven track record of collaborating with agile teams across geographically dispersed and remote locations. ## Description Join Cloudera's Machine Learning Platform team as a Staff Software Engineer. You will be a core technical leader responsible for designing, building, and delivering our next-generation AI and MLOps platform. You will design, build, and deliver an enterprise-grade platform enabling enterprises to create, deploy, and orchestrate agentic applications and multi-agent platforms using foundation models with enterprise data at scale in a hybrid cloud environment. As a Staff-level engineer, you will drive technical architecture, advocate for engineering best practices, and collaborate closely with cross-functional teams (Product, Design, Frontend, and Field Engineering) to enhance developer velocity and platform agility. Our Core Tech Stack: * Backend: Python, gRPC, SQL * Infrastructure: Kubernetes, Knative, Keda, Docker, Hybrid Cloud (AWS, GCP, Azure, OpenShift) * GenAI & ML: LangChain, CrewAI, LlamaIndex, Closed and open source LLMs * Data & Vector DBs: Quadrant, Pinecone or Milvus, Redis, Postgres In this role you will.. * Architect and Build: Design, code, and implement elegant, scalable, enterprise-quality platform and application services / SDKs that support autonomous agents, multi-agent collaboration, and advanced tool-use capabilities. * Implement Agentic Evaluation & Observability: Build automated evaluation pipelines and trajectory tracking to continuously bench, audit, and evaluate agent reasoning loops, tool-calling accuracy, and guardrail compliance. * Architect Memory Management Systems: Develop and optimize robust stateful memory architectures for enterprise agents, handling short-term context window strategies, long-term semantic/episodic memory persistence, and secure cross-session state management. * Enable RAG use cases: Implement AI application services powered by machine learning models, enabling scalable Retrieval-Augmented Generation (RAG) and semantic search. * Lead by Example: Advocate for and establish engineering best practices, coding standards, and rigorous system design methodologies. * Enhance Platform Velocity: Work to enhance developer velocity, framework abstraction, and team agility across the AI platform ecosystem. * Collaborate Cross-Functionally: Build strong relationships and collaborate with platform and UI engineers, data scientists, quality engineers, UX designers, Product Management, Field Engineering, and external enterprise partners. * Cross-Functional Collaboration: Build strong technical relationships with platform engineers, UI developers, UX designers, and Product Management to deliver cohesive user experiences. * Mentorship: Act as a senior technical leader on the team, mentoring junior engineers and actively contributing to a culture of engineering excellence and craftsmanship. ## Related Videos - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Supercharge Agentic AI Apps: A DevEx-Driven Approach to Cloud-Native Scaffolding](https://www.wearedevelopers.com/videos/1604-supercharge-agentic-ai-apps-a-devex-driven-approach-to-cloud-native-scaffolding) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. Grogg](https://www.wearedevelopers.com/videos/1806-nolojs-avoiding-javascript-cruft-with-html-and-css-aaron-t-grogg) - [Building Agentic Applications: A Deep Dive into Zooka, an AI Cardiologist Assistant](https://www.wearedevelopers.com/videos/2030-building-agentic-applications-a-deep-dive-into-zooka-an-ai-cardiologist-assistant) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)