DriveNets is looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If you’re an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouraged—this role is for you.
Responsibilities:
• Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
• Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
• Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots
• Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
• Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
• Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
• Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
• Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.
Must
Nice to Have:
• Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering
• Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
• Experience working with cloud-based AI platforms and scalable AI architectures
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
• Experience with AI Ops, observability tools, and monitoring AI applications in production
• Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools
• A background in software engineering, DevOps, or developer tooling
• Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment
• Published research, open-source contributions, or side projects demonstrating innovative AI applications.
Why Join Us?
This role is for builders, problem-solvers, and AI enthusiasts who want to push the boundaries of engineering productivity with AI You’ll be at the forefront of AI-powered platform engineering, shaping how DriveNets leverages AI to supercharge innovation, efficiency, and automation
If you’re looking to build game-changing AI platforms, experiment with cutting-edge tech, and make a real impact—join us!

DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers.
Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes.
Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.