Job Description
We are seeking a visionary Senior Generative AI Systems Engineer to join our elite team in San Francisco. As we architect the technological landscape for 2026, you will be at the forefront of revolutionizing how machines understand and interact with complex data.
In this role, you will build the next generation of autonomous AI agents, focusing on scalability, safety, and hyper-personalization. If you are passionate about pushing the boundaries of Deep Learning and LLMs, we want to hear from you.
Responsibilities
- Architect and deploy scalable Large Language Model (LLM) infrastructure on cloud platforms (AWS/Azure/GCP).
- Optimize inference latency and reduce computational costs for real-time AI applications.
- Design and implement retrieval-augmented generation (RAG) pipelines to enhance model accuracy.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
- Establish and enforce best practices for AI safety, ethics, and model governance.
- Conduct research to evaluate cutting-edge models (e.g., GPT-4, Claude, LLaMA) for integration.
- Mentor junior engineers and contribute to the technical roadmap for future AI capabilities.
Qualifications
- 5+ years of experience in software engineering with a focus on Machine Learning or AI.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures and NLP fundamentals.
- Experience with vector databases (Pinecone, Milvus) and deployment tools (Docker, Kubernetes).
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Proven track record of shipping production-grade AI applications.