Peppr AI

What You'll Do As a founding frontend/full-stack engineer at Peppr AI, you'll own features end-to-end—from UI/UX design through implementation—creating the interfaces that make our agentic AI platform intuitive and powerful for enterprise users. You'll work with React, shadcn, react-router, and FastAPI to build polished experiences that seamlessly integrate with our AI backend systems. Key responsibilities include: Design and ship polished interfaces with React, shadcn, and react-router Take ownership of full features: mockup → implementation → QA → deployment Collaborate closely with product & design teams to craft delightful user experiences Build reusable, scalable frontend architecture and consistent design systems Optionally tie in backend work using FastAPI and PostgreSQL to deliver complete solutions What We're Looking For We're seeking a proactive engineer who can own features end-to-end and ship fast in a dynamic startup environment. You should have: Required: 3+ years shipping production React applications with strong TypeScript/JavaScript skills Experience with UI libraries/components (shadcn or similar frameworks) Familiarity with react-router, state management, form handling, and responsive design Basic design sense—experience in Figma, design systems, or styling frameworks Bonus: Experience building UI for AI-driven workflows or agent interfaces Nice-to-Have: Backend experience with FastAPI or Python for full-stack development Production experience with Docker, CI/CD, and some AWS or Kubernetes basics A product mindset and experience shipping end-to-end features Comfort with ambiguity and rapid iteration in a startup environment This role offers the opportunity to shape both our user experience and technical architecture while building interfaces for the future of enterprise AI.

What You'll Do As a founding backend engineer at Peppr AI, you'll architect and build the robust infrastructure that powers our agentic AI platform. You'll design PostgreSQL-based systems, implement secure authentication layers, manage cloud deployment pipelines, and help build the foundational systems that let AI agents interface securely with enterprise data. Key responsibilities include: Design and maintain reliable PostgreSQL schemas, indexes, migrations, and backups Build secure auth layers: authentication, fine-grained authorization, and RBAC systems Containerize and deploy services on Kubernetes (or similar), integrating with CI/CD tooling Monitor production performance, latency, reliability, and security across all systems Collaborate on frontend integration and infrastructure improvements Bonus: Help architect and build AI agent pipelines and orchestration systems What We're Looking For We're seeking a builder who can create scalable, secure backend systems that form the foundation for AI-powered enterprise tools. You should have: Required: 3+ years in backend development with strong PostgreSQL experience Solid grounding in cloud platforms: AWS/GCP/Azure, Docker, and Kubernetes Strong security awareness: authentication, authorization, and encryption best practices Familiarity with API frameworks (FastAPI, Flask, Django) Excellent collaboration and code review habits with a strong team mindset Nice-to-Have: Hands-on experience with AI-centric pipelines, vector stores, and agent orchestration (RAG, LangChain, etc.) Experience with cloud infrastructure tools: Terraform, Helm, GitOps Background in production-grade security architectures (RBAC, IAM policies) A product mindset and experience shipping end-to-end features Comfort with ambiguity and rapid iteration in a startup environment This role offers the opportunity to shape both our technical architecture and product direction while working on cutting-edge AI infrastructure challenges.

AI Developer / AI Engineer What You'll Do As a founding AI engineer at Peppr AI, you'll take ownership of designing, developing, and deploying intelligent systems that form the core of our agentic AI platform. You'll build ML/LLM pipelines, integrate AI agents into production systems, and collaborate closely across UX, infrastructure, and backend domains to create seamless AI-powered enterprise experiences. Key responsibilities include: Develop end-to-end AI pipelines: data ingestion, context engineering, retrieval-augmented generation (RAG), model integration, validation, and monitoring Design and optimize low-latency voice agents, including STT, VAD, TTS, and streaming solutions using WebRTC or WebSockets Implement production-grade AI features, integrating them with FastAPI endpoints, Weaviate vector databases, and secure authentication systems Collaborate with frontend and backend teams to deliver AI-powered user experiences Continuously evaluate and prototype emerging frameworks (e.g., Hugging Face, LangChain, LLaMA) to improve performance and scalability What We're Looking For We're seeking a builder excited to push the boundaries of AI in enterprise settings. You should have: Required: 3+ years of experience in AI/ML engineering, with hands-on experience in building and deploying LLM-based systems Strong proficiency in Python and familiarity with frameworks such as Hugging Face Transformers and LangChain Practical experience with Weaviate or similar vector databases for RAG-based systems Understanding of low-latency voice technologies, including streaming pipelines and real-time audio processing Solid background in infrastructure: Docker, Kubernetes, CI/CD, monitoring, and secure API development Preferred: Experience building multi-step agent orchestration or custom AI workflows Knowledge of latency reduction techniques (e.g., model quantization, caching) Familiarity with designing voice-first conversational UX Strong understanding of security, data protection, and adversarial considerations in AI pipelines A product mindset and experience shipping end-to-end features Comfort with ambiguity and rapid iteration in a startup environment