Job Description
We are pioneering the Agentic AI Revolution for the year 2026 and beyond. As a Senior Agentic AI Engineer at Aether Systems, you will architect the next generation of autonomous intelligent agents capable of complex reasoning and self-improvement.
Your mission is to bridge the gap between cutting-edge Large Language Models (LLMs) and real-world application stability, ensuring our solutions are secure, scalable, and transformative.
Why Join Us?
- Work on the Future of AI (2026 Vision).
- Competitive salary and equity package.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Architect Agentic Workflows: Design and implement scalable, multi-agent systems that leverage LLMs for autonomous decision-making and task execution.
- Model Optimization: Fine-tune open-source models (e.g., LLaMA, Mistral) and optimize inference pipelines for low latency and high throughput in production environments.
- RAG Implementation: Develop advanced Retrieval-Augmented Generation architectures to enhance model accuracy and reduce hallucinations.
- Safety & Alignment: Implement guardrails and safety protocols to ensure AI agents operate within ethical and regulatory boundaries.
- MLOps & Deployment: Manage the end-to-end lifecycle of AI models using Docker, Kubernetes, and modern CI/CD pipelines.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex requirements into robust engineering solutions.
Qualifications
- Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
- Technical Skills: Strong proficiency in Python, PyTorch, or TensorFlow. Experience with LangChain or LlamaIndex is highly preferred.
- Knowledge: Deep understanding of Transformer architectures, attention mechanisms, and prompt engineering techniques.
- Deployment: Experience deploying ML models to cloud infrastructure (AWS, GCP, or Azure).
- Soft Skills: Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.