Senior Backend Engineer, AI & Productivity

View full description

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 or 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, especially focusing on RAG implementations.
• 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.
• Collaborate 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 advocate for innovation in AI development.