Technical Leader for Electrical Schematic within the aerospace sector, coordinating technical activities and supporting teams across France and internationally.
About the role
- Senior Software Engineer at NVIDIA developing multimodal, production-grade RAG solutions using AI technology. Leading architecture design and implementation of next-gen RAG workflows with a focus on GPU performance.
Responsibilities
- Plan, build and refine a GPU-accelerated, scalable, configurable Retrieval Augmented Generation (RAG) workflow and optimize it for accuracy, relevance, grounding and performance.
- Design and implement AI agents to enhance RAG pipeline which are capable of reasoning, planning, multi-step execution, and collaboration across tools and services
- Run fast, high-quality POCs on emerging agent and RAG architectures; harden successful patterns into generalized, reusable implementations and integrate them as part of production software.
- Build and deploy a disaggregated, end-to-end RAG pipeline using on-prem microservices architecture, orchestrating complex, multi-service deployments from local Docker environments to enterprise-scale Kubernetes clusters.
- Drive the continuous improvement of the pipelines by rigorously evaluating system accuracy, characterizing performance metrics across components, analyzing the data and recommending actionable strategic enhancements.
- Collaborate with various teams on new product features and the improvement of existing product.
- Provide guidance and support to NVIDIA internal teams and external partners on domain-adaptation, customization and integration of the RAG pipeline.
- Champion engineering excellence by leading rigorous code, architecture, and test plan reviews, authoring robust user documentation, and driving collaborative problem-solving and triage initiatives.
- Drive software excellence by designing with clean architectural patterns and automating the path to production through advanced CI/CD, testing, and telemetry workflows.
Requirements
- 5+ years of professional software engineering experience, with deep expertise in Python, and AI applications.
- Bachelor's degree or Master’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence or other related fields
- Hands-on experience building and deploying LLM-powered AI applications or RAG or Agentic AI workflows.
- Strong understanding of LLM design patterns, including tool calling, prompt engineering, structured outputs, reasoning.
- Experience with agent frameworks or orchestration systems such as LangGraph, LangChain, OpenAI Agents SDK, or similar.
- Have working experience with microservices, Docker, Helm, Kubernetes.
- Experience with end-to-end software lifecycle, release packaging, and CI/CD pipelines.
- Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment involving teams across the globe.
Benefits
- Competitive salaries
- Comprehensive benefits package
Job title
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