Summary
Join OpenPhone, a leading VoIP provider, and contribute to the development of cutting-edge AI-powered communication solutions. We are a fast-growing, fully remote company backed by top-tier investors. In this role, you will design and integrate LLM-based solutions, focusing on RAG implementations and optimal architecture. You will lead experimentation, optimize AI costs, and collaborate with cross-functional teams. We offer a competitive salary, equity, extensive medical coverage, a monthly lifestyle stipend, and flexible PTO. If you thrive in a fast-paced environment and are passionate about AI, we encourage you to apply.
Requirements
- 5+ years of backend engineering experience with TypeScript/Node.js or Python
- Experience with LLM integrations (OpenAI, Anthropic, Azure OpenAI) and familiarity with orchestration frameworks like LangChain or LlamaIndex
- Experience/familiarity with real-time event-driven and streaming systems
- Working knowledge of prompt engineering, RAG, and vector databases
- Experience with API design and microservices architecture
- Track record of rapid prototyping and experimentation
- Strong cross-functional collaboration and communication skills
Responsibilities
- Design and integrate LLM-based solutions, focusing on RAG implementations and optimal architecture patterns
- Lead rapid experimentation and prototyping of AI features, conducting proof of concepts to validate solutions
- Drive cost optimization for AI implementations through efficient architecture design
- Work closely with product, engineering, and customer experience teams to develop AI solutions
- Build and optimize prompt engineering workflows to enhance user experiences
- Implement robust error handling and monitoring for AI systems
- Guide technical discussions around AI architecture decisions
- Mentor team members and champion innovation in AI development
Preferred Qualifications
- Experience with conversational AI and voice agent development
- Knowledge of autonomous agent architectures and workflows
- Background in data pipeline design and ETL processes
- Experience building low-latency, real-time AI systems
- Familiarity with AI agent orchestration frameworks
- Understanding of multi-agent systems and communication patterns
- Knowledge of AI system cost optimization
Benefits
- Equity
- Extensive medical coverage
- A monthly lifestyle stipend
- A flexible PTO policy