Responsable Technique R&D sur des innovations dans le domaine des hautes tensions. SuperGrid Institute facilite la transition énergétique avec des solutions avancées en collaboration avec des acteurs industriels.
About the role
- Principal Software Engineer focusing on architecting and developing AI applications within Red Hat's Digital Workforce team. Collaborating across teams and mentoring engineers to drive innovation.
Responsibilities
- Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack
- Architect and lead the implementation of Agentic AI applications
- Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI
- Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines
- Develop and optimize retrieval-augmented generation (RAG) pipelines
- Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic
- Mentor, influence, and coach a distributed team of engineers
- Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts
- Review code merge requests from other team members for new features
- Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc.
- Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards
- Resolve bugs, performance problems, and other issues with production applications
Requirements
- Strong experience in a software engineering role
- Bachelor's degree in Computer Science, Computer Engineering or related field
- 10+ years of professional coding, at least a year using Python
- Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team
- Problem-solving and troubleshooting skills including performing root cause analysis
- Understanding of web application infrastructure and fundamentals like REST and HTTP
- Understanding of public cloud concepts and development practices
- Knowledge of Distributed Systems
- Experience with LangGraph, LangChain, Autogen and/or Python/Java-based AI libraries for GenAI applications
- Experience with continuous delivery (CD) like to build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes
Benefits
- Flexible work arrangements
- Professional development opportunities
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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