Job Description
We are pioneering the autonomous workforce of tomorrow. As we look ahead to the year 2026, our mission is to build the infrastructure for the next generation of Artificial Intelligence. We are seeking a visionary Senior Agentic AI Architect to design, implement, and scale autonomous agent systems that can reason, plan, and execute complex tasks in real-world environments.
In this role, you will bridge the gap between cutting-edge research and production-grade engineering. You will define the architectural patterns for self-improving AI agents and ensure they are robust, secure, and scalable. Join us in shaping the future of intelligent automation.
Responsibilities
- Architect and design scalable multi-agent systems using Large Language Models (LLMs) and autonomous agent frameworks.
- Develop orchestration layers that enable agents to communicate, collaborate, and delegate tasks effectively.
- Optimize model inference pipelines to reduce latency and cost for high-volume agent deployments.
- Implement rigorous testing and evaluation protocols to ensure agent reliability and safety.
- Mentor a team of machine learning engineers and researchers on best practices for AI safety and deployment.
- Stay ahead of industry trends to integrate emerging technologies into our 2026 roadmap.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of experience in software engineering, with at least 2 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern LLM technologies (e.g., GPT, Claude, Llama).
- Proven experience with agent frameworks such as LangChain, AutoGPT, or similar.
- Strong understanding of vector databases, RAG (Retrieval-Augmented Generation), and semantic search.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).