AI Solutions Architect

Key Responsibilities

Design and implement AI-driven conversational agents and autonomous workflows across Tutor, Coach, and Buddy products. Build scalable pipelines for LLM interaction, retrieval-augmented generation (RAG), and contextual memory.

• Integrate multi-modal capabilities (text, voice, image, video) into learning assistants.
• Collaborate with product, data, and backend teams to align agent behavior with learning outcomes and UX.
• Develop evaluation frameworks for accuracy, relevance, safety, and personalization.
• Fine-tune and optimize prompt chains, embeddings, and tool-use logic.
• Ensure compliance with ethical AI practices, hallucination reduction, and content moderation.
• Continuously research, test, and integrate new LLMs, APIs, and frameworks to enhance agent capabilities.
• Contribute to building reusable AI components and internal SDKs for faster agent development.
• Support A / B testing, telemetry integration, and performance analytics for deployed agents.

Required Skills & Qualifications

GitHub Actions, Jenkins(nice to have)

Bonus Points

WhatWe Offer