*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, LLC office in Raleigh, NC.
Build backend systems with FastAPI (Python). Develop multi-turn chatbots with agentic functionality using llama-stack and the OpenAI Agents SDK. Utilize NoSQL (MongoDB) and vector databases to persist and manage conversation data and application usage metrics.
What You Will Do:- Use Splunk for tracing logs, monitoring applications, and building rich dashboards.
- Use Redis to cache user information and improve application latency.
- Containerize applications with Docker for production deployments using Kubernetes.
- Design, develop, test, debug, deploy and maintain application microservices for AI initiatives.
- Work cross-functionally with teams on API development to support AI-based applications.
- Work with data scientists to train, test and evaluate AI models and LangFuse.
- Manage deployment of IBM Granite models with vLLM.
- Monitor critical back-end services running in the cloud and in OpenShift clusters.
What You Will Bring:- Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Electronics Engineering or related field and five (5) years of experience in the job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Electronics Engineering or related field and three (3) years of experience in the job offered or related role.
- Must have three (3) years of experience with: NoSQL or Vector databases for conversational data storage; observability and traceability of distributed applications; and containerization and deployment tools using Docker and Kubernetes.
- Must have two (2) years of experience with: design and implementation of multi-turn conversational applications; and Python-based asynchronous web frameworks for building low latency application using distributed caching.
- Must have one (1) year of experience with Agentic Frameworks and LLM.
#LI-DNI
The salary range for this position is $159,910 - $195,680/year. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
