Machine Learning Engineer

🔍 About the RoleWe are looking for a talented Machine Learning Engineer to design, build, and deploy cutting-edge Generative AI solutions powered by Large Language Models (LLMs). You will work on end-to-end GenAI use cases—from model selection to production-ready deployment—driving innovation in AI-powered applications.💡 Key ResponsibilitiesDevelop and productionize GenAI applications using LLMs (open-source and closed-source)Design and implement agentic workflows using LangChain and LangGraphBuild short-term and long-term memory architectures for LLM-based systemsOptimize prompts, retrieval pipelines (RAG), and orchestration logicCollaborate with product, engineering, and platform teams to deliver scalable AI solutions✅ Required QualificationsStrong experience working with LLMs such as OpenAI, Anthropic, LLaMA, or MistralHands-on experience with LangChain and/or LangGraphSolid understanding of LLM memory architectures and state managementStrong programming skills in Python and ML engineering best practices⭐ Nice to HaveExperience with Google Cloud Platform (Vertex AI, BigQuery, GCS)Experience deploying ML/GenAI systems into production environments🌟 Why Join Us?Work on cutting-edge Generative AI and LLM use casesOpportunity to build scalable, real-world AI systemsCollaborative and innovation-driven environment