Software Engineer - Generative AI and LLMs

Our Product: Ejento, built by Data Science Dojo, is a cutting-edge RAG platform that enables LLM application developers to build retrieval-augmented generation (RAG)-based applications efficiently. Our platform integrates advanced retrieval systems with LLMs to create scalable, context-aware AI solutions. We are dedicated to ensuring AI safety, reliability, and performance by developing robust LLM guardrails and evaluation frameworks. Job Role: We are looking for Software Engineers specializing in Generative AI and LLMs to design and implement robust guardrails and evaluation frameworks for Ejento. This role is crucial in ensuring safe, reliable, and high-quality AI-generated outputs by integrating guardrails for security, compliance, and ethical considerations. The engineer will also develop an evaluation framework to measure model accuracy, robustness, and real-world performance across various use cases. What you will do: Design and optimize our platform to support the latest in LLMs, embeddings, tool use, and agentic patterns, keeping Ejento ahead of the curve. Architect and refine multi-agent systems with tool use, memory, and coordination, turning AI into actual coworkers, not just chatbots. Optimize semantic and hybrid search systems with techniques like RAG, grounding, and reranking to deliver precise, context-aware responses. Develop clean, scalable APIs that let customers drop powerful AI into their apps with minimal lift and maximum impact. Create rich, extensible integrations with platforms like Teams, Slack, SharePoint, Notion, and beyond, meeting users where they already work. Use Ejento to build Ejento. You'll test ideas in the wild, spot edge cases early, and ship with confidence. Design with responsibility implements guardrails, safety filters, prompt injection protection, and access control from day one. Read the latest arXiv papers before they trend, try open-source tools before they launch, and help us ship what others are still prototyping. Partner with real users and customers to understand needs, unblock workflows, and deploy AI that makes their jobs easier, not harder. Design and implement LLM guardrails to prevent hallucinations, biases, and unsafe outputs within Ejento.

Data Science Dojo is a leading provider of data science training and consulting services. They have developed Ejento, a cutting-edge RAG platform that enables LLM application developers to build retrieval-augmented generation (RAG)-based applications efficiently.