Job Description
Join the 2026 Initiative: We are pioneering the next generation of autonomous intelligence. FutureCore Systems is seeking a visionary Senior AI Architect to lead the development of self-governing AI agents capable of complex decision-making and real-world execution.
In this role, you will architect the infrastructure that powers the autonomous economy, leveraging cutting-edge Large Language Models (LLMs) and multi-agent frameworks. You will work in a high-performance environment where innovation is not just encouraged but required. If you are passionate about the future of AI and want to define the standards for 2026, this is your opportunity.
Responsibilities
- Architect Multi-Agent Systems: Design and build sophisticated orchestration frameworks for autonomous AI agents capable of collaborating to solve complex problems.
- Optimize LLM Performance: Implement advanced techniques for model quantization, inference optimization (vLLM, TensorRT), and latency reduction to ensure real-time responsiveness.
- Develop RAG Pipelines: Engineer robust Retrieval-Augmented Generation architectures to enhance model accuracy and reduce hallucinations.
- Scalable Infrastructure: Build and maintain scalable machine learning infrastructure on cloud platforms (AWS/Azure/GCP) ensuring high availability and security.
- Research Integration: Stay ahead of the curve by integrating the latest research from top AI conferences (NeurIPS, ICML) into production systems.
- Model Evaluation: Establish rigorous evaluation metrics and benchmarks for AI agent performance and safety.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
- Experience: 5+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning.
- Technical Skills: Expert proficiency in Python, PyTorch, or TensorFlow. Deep experience with HuggingFace Transformers, LangChain, or LlamaIndex.
- Deployment: Proven track record of deploying large-scale ML models to production environments.
- Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.
- Problem Solving: Strong analytical skills with a focus on optimizing system architecture and performance.