About Peppr AI

At Peppr AI, we’re building the data and intelligence layer that makes AI agents truly work inside large enterprises. AI adoption is exploding, but most orgs can't make use of agents because their data is too fragmented. Peppr solves this by learning from how employees actually work and stitching together an org-wide brain that agents can use.

We’re already deployed at enterprises with 1000+ employees like Citrix and just wrapped up the W25 Y Combinator batch. We’re a team of 4 Georgia Tech grads with 2 prior exits, and we move fast, build deep, and obsess over solving real problems.

We’re hiring another founding engineer to join us on the technical frontier — someone excited to shape the future of how humans and AI work together.

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

If you're a builder who’s excited to work on both backend systems and intuitive frontends — and want to shape how AI integrates into real-world enterprise workflows — you're a great fit.

We're looking for interns with:

• Strong full-stack engineering skills (we work with TypeScript, React, and Python)
• A product mindset and experience building end-to-end features
• Fast iteration ability and comfort with ambiguity
• Bonus: Experience with networking, authentication, enterprise security, or working with AI tooling

What You’ll Do

As an intern at Peppr AI, you’ll work across the stack to help build the infrastructure that powers the agentic AI layer for the enterprise.

You’ll be shipping real product:

• Building frontend interfaces for how employees interact with Peppr’s AI
• Engineering robust backend systems that process and unify organizational knowledge
• Contributing to our internal platform that enables agents to operate securely and autonomously across fragmented enterprise tools
• Collaborating on design, architecture, and product direction from day one