AI Engineers

**Job Description** As an AI Engineer at our company, you will play a crucial role in designing and implementing AI-driven conversational agents and autonomous workflows across our Tutor, Coach, and Buddy products. Your responsibilities will include: - Building scalable pipelines for LLM interaction, retrieval-augmented generation (RAG), and contextual memory. - Integrating multi-modal capabilities (text, voice, image, video) into learning assistants. - Collaborating with product, data, and backend teams to align agent behavior with learning outcomes and UX. - Developing evaluation frameworks for accuracy, relevance, safety, and personalization. - Fine-tuning and optimizing prompt chains, embeddings, and tool-use logic. - Ensuring compliance with ethical AI practices, hallucination reduction, and content moderation. - Continuously researching, testing, and integrating new LLMs, APIs, and frameworks to enhance agent capabilities. - Contributing to building reusable AI components and internal SDKs for faster agent development. - Supporting A/B testing, telemetry integration, and performance analytics for deployed agents. **Qualifications Required** - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - 3+ years of hands-on experience building AI applications, chatbots, or agentic systems. - Strong understanding of LLM architectures, embeddings, vector databases, and RAG frameworks. - Proficiency in Python and key AI/ML libraries (LangChain, LlamaIndex, OpenAI, Hugging Face). - Experience with API integration, orchestration (FastAPI/Flask), and database management (MongoDB/Postgres). - Familiarity with prompt engineering, system design for agents, and evaluation metrics. - Excellent problem-solving, debugging, and documentation skills. In addition to the above responsibilities and qualifications, you may have an advantage if you possess: **Bonus Skills** - Experience in building educational or learning-focused AI systems. - Understanding of pedagogy, personalization models, and adaptive learning. - Familiarity with voice agents, speech-to-text, and emotion detection APIs. - Knowledge of graph-based memory or multi-agent frameworks. - Experience conducting AI safety, fairness, and reliability evaluations. If you join our team, you can expect: - An opportunity to shape the core AI systems of a fast-scaling EdTech company. - A collaborative, research-driven, and mission-focused environment. - Competitive compensation, ownership, and career growth opportunities. - Flexible work setup and a chance to impact millions of learners globally.,