AI Developer / AI EngineerPeppr AI (YC W25) • San Francisco, CA, United States

AI Developer / AI Engineer

Peppr AI (YC W25) • San Francisco, CA, United States

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Join to apply for the AI Developer / AI Engineer role at Peppr AI (YC W25)

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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.

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

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 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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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