Job Description
At Synapse Future Tech, we are building the operating system for the next decade. We are seeking a visionary Generative AI Engineer to lead our research into autonomous agents and large-scale model deployment. If you are passionate about the future of AI and want to shape the technology landscape of 2026, this is your opportunity to make an impact.
In this role, you will bridge the gap between cutting-edge research and scalable production systems. You will work on developing agentic workflows, optimizing inference speeds, and ensuring our AI solutions are robust, ethical, and transformative.
Why Join Us?
We offer a competitive package, remote-first flexibility, and the chance to work on projects that redefine human-computer interaction.
Responsibilities
- Architect and deploy scalable Retrieval-Augmented Generation (RAG) pipelines to enhance LLM accuracy and context awareness.
- Conduct research and fine-tuning of state-of-the-art Large Language Models (LLMs) on proprietary datasets.
- Optimize model inference latency and throughput using techniques like quantization and distillation.
- Collaborate with product and engineering teams to integrate AI capabilities into consumer-facing applications.
- Maintain the highest standards of data privacy, security, and ethical AI practices.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience in Python, PyTorch, or TensorFlow.
- Deep understanding of transformer architectures, attention mechanisms, and fine-tuning methodologies.
- Experience with vector databases (e.g., Pinecone, Milvus) and data orchestration tools.
- Strong problem-solving skills and a track record of shipping complex machine learning systems.