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.
About the role
- Senior Full Stack Software Engineer at Kpler developing LLM-powered applications. Focused on leveraging AI to enhance user interactions with complex data.
Responsibilities
- Develop intuitive interfaces for LLM-powered applications, focusing on interaction patterns that make AI assistants truly useful.
- Build full-stack GenAI solutions using Vue.js for frontend and Python for backend, integrating with LLM APIs and AI frameworks.
- Proactively identify opportunities to integrate LLMs into user workflows, proposing and prototyping new features that transform user experience.
- Write clean, high-performance, maintainable code as part of a dynamic team, leveraging the latest AI tools to accelerate development.
- Stay up-to-date with the latest advancements in GenAI and AI UX patterns, and apply them to our projects.
- Ensure your code reaches production smoothly, understanding and contributing to the full CI/CD pipeline from IDE to cloud infrastructure.
Requirements
- Circa 5-7 years of experience in full-stack web development with a strong focus on frontend and UX/UI.
- Solid understanding of LLM capabilities and limitations: knowing what is possible, and designing applications that work with their strengths.
- Experience building LLM-powered UI components that work with structured outputs from model responses.
- Frontend expertise: Strong experience with Vue.js (or other modern frameworks) and TypeScript with a keen eye for UX/UI.
- Backend proficiency: Solid Python skills for building APIs, integrating AI services, and data processing.
- Operational experience: Understanding of how code moves from IDE through CI/CD pipelines to cloud infrastructure. Hands-on experience with GitHub Actions, Docker, and cloud platforms.
- Software architecture: Familiarity with architecture patterns (hexagonal, onion, clean) to ensure maintainability, testability, and evolvability.
- Product-focused with attention to detail: Balancing focus on the final product while being meticulous about implementation quality.
- Proactive mindset: Natural curiosity about how to leverage AI to solve problems, with the ability to identify opportunities and drive implementation.
- Collaboration: Excellent communication skills and a strong desire to share knowledge and collaborate.
Benefits
- Equal opportunity employer
- Fair, inclusive, and diverse work environment
Job title
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Experience level
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Degree requirement
Tech skills
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