Architect and develop a platform for Agentic AI applications.
Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
Collaborate with Quality Engineers to develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality.
Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process.
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation.
Requirements
7 to 10 years of advanced Python development experience,
Advanced knowledge designing robust and scalable software used in highly scaled and performant Distributed Systems
Experience with building agents, agentic workflows, or developing with LLMs
Knowledge of Kubernetes/OpenShift and operational knowledge building/deploying containers.
Experience creating automation for GitHub, using GitHub Actions or related continuous integration tools.
Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation
Ability to quickly learn and use new tools and technologies.
The following is considered a plus
Experience with open source projects.
Experience with Security, Observability, Performance or Scale.
Understanding of DevOps methodology, scrum, and/or Jira.
Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
Bachelors or Masters degree in computer science or related discipline.
#LI-MD2
#AI-HIRING
The salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications.
Pay Transparency
Benefits
Remote work optionsEquity / stock optionsPerformance bonus
Additional Information
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.
Job Summary
At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast-moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
Red Hat's Global Engineering team is looking for a Senior Software Engineer to join the Agentic and AI Engineering Tools team to develop a Kubernetes/OpenShift Operator and associated software for orchestrating deployment of Llama Stack. In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software adding features that enables Llama Stack to achieve Enterprise readiness.
The ideal candidate will have a proven background in developing robust and scalable code. As part of your responsibilities, you will need to adhere to coding best practices and standards, including well-documented, and efficient code; building and implementing upstream unit and E2E automated tests, maintaining updated code documentation and comments, following security best practices, participating in code reviews and other peer review in upstream projects, and staying up-to-date with software engineering technologies, frameworks, and methodologies.
Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship
Red Hat · Boston