
AI Backend Architect
1 day ago
About Us
We're a fast-growing startup building at the intersection of LLMs, infrastructure, and human-AI collaboration.
Job Description
We're looking for an experienced AI Backend Architect who can design and scale high-performance backend systems using Python (FastAPI), ensuring modular, efficient architecture aligned with product goals. As a key member of our engineering team, you will work closely with AI and product teams to integrate LLM pipelines into backend services.
Key Responsibilities:
- Design and Scale Backend Systems: Build and scale high-performance backend systems using Python (FastAPI).
- Cloud Deployment and Optimization: Deploy, monitor, and optimize cloud-native applications on AWS or Azure for reliability and scalability.
- LLM Integration and Collaboration: Work closely with AI and product teams to integrate LLM pipelines (e.g., LangChain, LlamaIndex) into backend services.
- Leadership and Engineering Culture: Independently lead projects, mentor junior engineers, set code quality standards, and contribute to a fast-paced, high-ownership engineering culture.
Required Skills and Qualifications:
- Backend Expertise: 5+ years of experience in Python, with strong proficiency in FastAPI, and solid CS fundamentals including data structures, algorithms, system design, and design patterns.
- Scalable Systems: Proven ability to design and scale production-grade systems, with a deep understanding of architecture and trade-offs.
- Cloud Proficiency: Hands-on experience with AWS or Azure, including deployment, CI/CD, observability, and cost optimization.
- AI & Ownership: Strong ownership mindset with experience delivering end-to-end solutions, including AI-native backends using LangChain, LlamaIndex, etc.
- Experience with agent frameworks like Autogen, Semantic Kernel, CrewAI, or AutoChain, along with exposure to vector databases, embedding pipelines, and retrieval-based systems.
- Background in FinTech or internal tools, with a strong passion for developer experience and infrastructure innovation.
Benefits:
- Industry-leading pay with performance-based rewards.
- Work on cutting-edge AI applications with global impact and real-world use cases.
Perks:
- Remote-first, fast-paced team with direct influence on product and architecture decisions.
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