Machine Learning Engineer

🔍 About the Role We 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 Responsibilities • Develop and productionize GenAI applications using LLMs (open-source and closed-source) • Design and implement agentic workflows using LangChain and LangGraph • Build short-term and long-term memory architectures for LLM-based systems • Optimize prompts, retrieval pipelines (RAG), and orchestration logic • Collaborate with product, engineering, and platform teams to deliver scalable AI solutions ✅ Required Qualifications • Strong experience working with LLMs such as OpenAI, Anthropic, LLaMA, or Mistral • Hands-on experience with LangChain and/or LangGraph • Solid understanding of LLM memory architectures and state management • Strong programming skills in Python and ML engineering best practices ⭐ Nice to Have • Experience 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 cases • Opportunity to build scalable, real-world AI systems • Collaborative and innovation-driven environment