Job Description
We are Quantum Leap Dynamics, a pioneering force in the next generation of intelligent systems. As we prepare for our 2026 roadmap, we are seeking a visionary Lead AI Architect to spearhead the development of Agentic AI ecosystems.
In this role, you won't just be building models; you will be building autonomous agents capable of complex reasoning, multi-step planning, and self-correction. We are looking for a technical leader who thrives in ambiguity and is passionate about pushing the boundaries of what Large Language Models (LLMs) can achieve.
The Impact You Will Make
- Architect the core infrastructure for next-gen autonomous AI agents.
- Bridge the gap between theoretical AI research and production-grade engineering.
- Define the AI strategy that will power our products through 2026 and beyond.
Join us in shaping the future of human-machine interaction.
Responsibilities
- Design and implement scalable architectures for autonomous AI agents using LangChain, LlamaIndex, and custom frameworks.
- Optimize large language models for latency, throughput, and cost-efficiency in real-world environments.
- Lead a team of machine learning engineers and data scientists in research and deployment.
- Develop robust evaluation pipelines to measure agent accuracy and reliability.
- Collaborate closely with product managers to translate complex technical requirements into functional features.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS/GCP/Azure).