Job Description
The Opportunity: Join Nexus Horizon Systems as our Lead AI Search Architect. We are on a mission to revolutionize information retrieval by integrating Generative AI with semantic search paradigms. In this role, you will define the architecture for our next-generation search engine, preparing it for the evolving landscape of 2026 and beyond.
Why Join Us? You will work with state-of-the-art LLMs, build autonomous agents, and solve complex NLP challenges that will define the next decade of the web.
Responsibilities
- Design and implement scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise search.
- Develop and optimize Agentic Workflows that can autonomously execute complex search tasks.
- Integrate multimodal data (text, images, code) into unified search indexes.
- Collaborate with data scientists to fine-tune models for domain-specific relevance.
- Maintain high standards of code quality, testing, and deployment automation.
- Advocate for ethical AI practices and bias mitigation in search algorithms.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience in Search Engine Architecture, NLP, or Information Retrieval.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep experience with Vector Databases (Pinecone, Milvus, Weaviate).
- Strong understanding of Transformer architectures and LLM fine-tuning techniques.
- Demonstrated ability to think strategically about long-term product roadmaps (2026 vision).