Job Description
We are looking for a visionary Senior AI Architect to define the technological landscape for 2026. In this pivotal role, you will bridge the gap between theoretical AI research and production-ready, autonomous systems. As AI evolves into true agentic intelligence and multi-modal reasoning, Apex Logic Systems is building the infrastructure to power the next decade.
Join a team of elite engineers and researchers dedicated to pushing the boundaries of Generative AI, Large Language Models (LLMs), and Autonomous Agents. You will not just build tools; you will architect the future of intelligence.
Responsibilities
- Architect the 2026 AI Stack: Design scalable, distributed system architectures for next-generation AI agents and multimodal models.
- Model Optimization: Lead research and implementation efforts to optimize LLM inference latency and reduce token costs for enterprise applications.
- Agentic Frameworks: Develop the core frameworks that enable AI agents to perform complex, multi-step reasoning and autonomous decision-making.
- Infrastructure Strategy: Collaborate with DevOps teams to deploy high-availability AI clusters on cloud platforms, ensuring security and scalability.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural reviews to maintain high technical standards.
- R&D Integration: Translate cutting-edge academic papers into practical, production-ready software solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specializing in AI/ML infrastructure and system design.
- Core Tech: Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
- AI Expertise: Strong understanding of LLM architectures (Transformers, GPT, BERT), RAG (Retrieval-Augmented Generation), and Vector Databases.
- System Design: Demonstrated ability to design fault-tolerant, high-performance distributed systems.
- Tools: Experience with Docker, Kubernetes, AWS (or GCP/Azure), and CI/CD pipelines.