Overview
Join to apply for the AI Developer / AI Engineer role at Peppr AI (YC W25)
This range is provided by Peppr AI (YC W25). Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$100,000.00 / yr - $149,998.00 / yr
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.
- 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
Required
What We're Looking For
We're seeking a builder excited to push the boundaries of AI in enterprise settings. You should have :
3+ years of experience in AI / ML engineering, with hands-on experience in building and deploying LLM-based systemsStrong proficiency in Python and familiarity with frameworks such as Hugging Face Transformers and LangChainPractical experience with Weaviate or similar vector databases for RAG-based systemsUnderstanding of low-latency voice technologies, including streaming pipelines and real-time audio processingSolid background in infrastructure : Docker, Kubernetes, CI / CD, monitoring, and secure API developmentPreferred
Experience building multi-step agent orchestration or custom AI workflowsKnowledge of latency reduction techniques (e.g., model quantization, caching)Familiarity with designing voice-first conversational UXStrong understanding of security, data protection, and adversarial considerations in AI pipelinesA product mindset and experience shipping end-to-end featuresComfort with ambiguity and rapid iteration in a startup environmentSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering and Information TechnologyIndustries
Technology, Information and Internet#J-18808-Ljbffr