Job Description
We are looking for a visionary Senior AI Architect to lead the design of our next-generation Agentic AI infrastructure for the 2026 era. At Quantum Leap Innovations, we are building the autonomous systems of tomorrow, where AI agents can independently plan, execute, and learn from complex real-world environments.
In this role, you will bridge the gap between cutting-edge research and production-ready deployment. You will define the architectural patterns that enable self-healing, multi-modal AI systems capable of handling enterprise-scale complexity.
Why Join Us?
- Work on the forefront of Agentic AI and Autonomous Systems.
- Competitive equity package and performance bonuses.
- Remote-first culture with quarterly innovation sprints.
Responsibilities
- Design and implement scalable architectures for autonomous AI agents and multi-agent systems.
- Oversee the integration of LLMs with retrieval-augmented generation (RAG) pipelines for enhanced reasoning.
- Optimize model inference latency and reduce computational costs for real-time applications.
- Establish best practices for prompt engineering, guardrails, and safety alignment in autonomous agents.
- Mentor a team of ML engineers and data scientists to foster a culture of innovation.
- Collaborate with product teams to translate advanced AI capabilities into user-friendly solutions.
Qualifications
- Master’s or PhD in Computer Science, AI, or a related technical field.
- 5+ years of professional experience in Machine Learning engineering, with a focus on Large Language Models (LLMs).
- Deep expertise in Python, PyTorch, and TensorFlow/Keras.
- Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
- Experience with vector databases (e.g., Pinecone, Milvus) and agent orchestration frameworks.
- Proven track record of shipping production AI systems.