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Lead AI Engineer
4 weeks ago
Job OverviewMontyCloud is redefining CloudOps with AI-powered automation. Our AI team is leading efforts in intelligent CloudOps by making DAY2 cloud management effortless.As a Lead AI Engineer, you will play a key role in building and scaling AI-first solutions that enhance developer efficiency, intelligent automation, and next-gen cloud autonomy. This role is ideal for those passionate about AI-driven automation and pioneering AI agents that transform cloud management.Key ResponsibilitiesDesign, develop, and scale AI-powered features across MontyCloud’s CloudOps Copilot and innovation initiatives.Lead and architect AI/ML integration across CloudOps Copilot and AI Innovation initiatives.Evaluate, fine-tune, and integrate existing AI/ML models (LLMs, NLP, etc.) into MontyCloud’s platform.Optimize AI inference pipelines for scalability, performance, and cost efficiency, including techniques like model distillation where applicable.Establish best practices for AI consumption, API-based model integration, and MLOps workflows.Collaborate with platform and data engineers to enable AI-powered cloud automation.Identify and implement AI applications for internal productivity tools across engineering, sales, and operations.Ensure responsible AI adoption, including model usage policies, bias mitigation, and continuous monitoring.Mentor AI engineers and work cross-functionally to drive AI-led innovation.Required Qualifications8+ Years of experience in AI/ML engineering, with 3+ years in a leadership role.Proven expertise in consuming and integrating AI/ML services and APIs (e.g., OpenAI, Hugging Face, AWS Bedrock, SageMaker).Strong proficiency in MLOps, AI inference optimization, RAG, Graph-RAG, model fine-tuning, and efficiency techniques such as model quantization, pruning, and model distillation.Hands-on experience with Python, API development, LangChain (or similar libraries), and vector databases.Deep knowledge of cloud platforms (AWS/GCP/Azure) and deploying AI models in cloud environments.Experience with Kubernetes, Docker, Terraform.Strong problem-solving skills with the ability to drive AI adoption across teams.Nice to HaveExperience in AI-driven developer tools, automation, or cloud operations.Experience with serverless AI model deployment and cost-efficient hosting strategies.
