Lead AI architecture decisions, develop core AI infrastructure, and mentor engineering team in ML/AI best practices.
Aethenix is an AI-first technology company building intelligent software, automation systems, and next-generation digital products. We help startups, founders, and enterprises transform their businesses through custom software development, cloud infrastructure, AI enablement, product engineering, AI consulting, digital transformation, and workflow automation. Beyond client services, we are actively building our own ecosystem of AI-powered products focused on content generation, content scheduling, social media automation, business productivity, AI-powered workflows, professional networking, startup communities, and knowledge-sharing platforms. Our mission is simple: Empower businesses and individuals through technology, automation, and artificial intelligence. At Aethenix, you'll work on both client-facing solutions and internal products that solve real-world problems at scale. About the Role: As a Senior AI Engineer, you will define Aethenix's AI strategy and lead the development of advanced AI infrastructure, multi-agent systems, and next-generation intelligent products. You will work at the intersection of research, engineering, product development, and innovation to build scalable AI solutions for real-world business challenges. This is a leadership role with significant ownership and influence over our AI roadmap. What Makes Aethenix Different? • Build products, not just projects. • Work directly with founders. • High ownership and decision-making authority. • Opportunity to shape company-wide AI strategy. • Exposure to startups, enterprises, and cutting-edge technology. • Remote-first culture. • Continuous learning and experimentation. Why Join Us? If you're excited about building the future of AI, creating intelligent products from scratch, and working in a high-growth startup environment where your ideas matter, Aethenix is the place for you. Rise Beyond Limits. Build the Future with Aethenix.
Architect enterprise-grade AI systems and platforms.
Design and develop multi-agent AI frameworks.
Build advanced RAG pipelines and knowledge systems.
Fine-tune and deploy large language models.
Research and implement state-of-the-art AI techniques.
Lead AI architecture decisions across products and client projects.
Build AI automation workflows that eliminate repetitive business processes.
Mentor AI engineers and establish technical standards.