Job Description
We are seeking a visionary Senior Generative AI Architect to lead our research and development initiatives aimed at defining the technological landscape for 2026. As the industry accelerates towards autonomous agents and advanced Large Language Models (LLMs), we need a technical leader who can bridge the gap between cutting-edge research and scalable enterprise solutions.
In this role, you will not just implement existing models; you will architect the infrastructure that powers the next generation of intelligent applications. You will work closely with product teams to integrate AI deeply into our core products, ensuring we remain at the forefront of the AI revolution.
Responsibilities
- Design and implement scalable Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and reduce hallucinations.
- Lead the fine-tuning and optimization of open-source LLMs (e.g., Llama 3, Mistral) for specific domain tasks.
- Build and deploy autonomous AI agents capable of multi-step reasoning and complex tool use.
- Ensure data privacy, security compliance, and ethical AI practices in all model deployments.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
Qualifications
- 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Proficiency in Python, PyTorch, or TensorFlow with a deep understanding of neural network architectures.
- Strong experience with vector databases (Pinecone, Milvus, Weaviate) and embedding models.
- Experience with orchestration frameworks such as LangChain or LlamaIndex.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.