AI Innovation Leader

1 week ago

coimbatore, India beBeeAI Full time

AI Engineer - Innovation LeaderAbout Us:We simplify enterprise private clouds, turning existing infrastructure into full-featured private cloud environments. Our product enables enterprises to manage VMs and containers with familiar GUI tools and automated APIs in a secure environment.Enterprises are choosing our solution to migrate away from legacy virtualization platforms due to its ability to meet critical enterprise requirements:Familiar VM management experienceCritical enterprise virtualization features: HA, DRR, networking, scale, reliabilityCompatibility with all existing hardware environments, including 3rd-party storageAutomated migration tooling that lowers cost barriersWe have over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. We are an inclusive, globally distributed company committed to driving private cloud innovation and efficiency.Responsibilities:Develop AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows that solve real-world infrastructure problems.Own Key AI Features: Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.Build Agentic AI Platforms: Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.Integrate AI/ML Solutions: Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.Collaborate with Engineers: Collaborate with cross-functional engineers to deliver high-impact operational experiences.Serve as Subject Matter Expert: Serve as a subject matter expert on a wide range of ML techniques and optimizations.Mentor Junior Engineers: Mentor junior engineers and peers on ML design patterns, code quality, and experiment methodology.Qualifications:Education: Minimum bachelor's degree in Data Science or a related field.Experience: 5+ years of experience, at least 2 years working on generative AI technologies.Skills: Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models. Strong proficiency in Python. Additionally, exposure to Golang is a plus.Desirable Skills: Working knowledge of deployment using Kubernetes on Cloud infrastructure. Proven ability to build scalable, reliable production services.Distinguish Yourself:Agentic AI Mastery: Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.LLM Inference Optimization: Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.End-to-End ML Systems Ownership: A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

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