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AI Engineer
LinkedIn Recruiter Post
Hiring AI Engineer with 8 - 10 years experience in AI/ML, LLMs, Python, and MLOps. Must have expertise in Generative AI, RAG pipelines, and cloud deployment.
About the role
- Senior Software Engineer guiding performance and scalability for Red Hat OpenShift AI Platform. Collaborating with teams to enhance AI infrastructure and mentoring junior engineers.
Responsibilities
- Define and lead the performance and scalability strategy for RHOAI components, including but not limited to GenAI API servers, vector databases, MCP Gateways, and Model Registry.
- Design and maintain tools and automated frameworks to streamline performance data collection, and analysis.
- Identify bottlenecks in component performance and collaborate with core RHOAI engineering teams to drive performance improvements.
- Triage and resolve complex performance-related customer cases collaborating with the customer facing teams.
- Collaborate with Product Management and Core Engineering to influence the product roadmap based on performance data and industry trends.
- Provide technical guidance and mentorship to junior engineers.
- Champion a culture of performance-centric development within the broader PSAP team.
- Represent Red Hat in industry consortia and at global conferences.
- Author high-impact technical blogs and white papers to establish Red Hat’s thought leadership.
Requirements
- Bachelor's degree in Computer Science or related field
- 5+ years of software engineering experience
- Experience in systems-level performance analysis, profiling, and tuning (CPU, Memory, I/O, and Network).
- Experience with Kubernetes or OpenShift (containers, pods, and orchestration).
- Strong Python proficiency in designing complex, maintainable automation software and data analysis pipelines.
- Experience working in a Linux environment with an understanding of system resources (CPU, Memory, I/O).
- Understanding of AI concepts (classical ML, Gen AI and agentic AI), and knowledge of AI lifecycle and MLops workflows
- Experience preparing and managing high quality datasets for accurate benchmarking of data-intensive systems
- Proven ability to communicate complex performance metrics into clear, actionable insights that bridge the gap between technical engineering and strategic business objectives for stakeholders at all levels.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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