Senior Generative AI & Agentic Systems Engineer

Introduction & Summary: The Senior Generative AI & Agentic Systems Engineer will play a pivotal role in advancing the design and production of cutting-edge applications utilizing LLM technologies. The ideal candidate will possess a profound expertise in programming, machine learning, and cloud deployment, enabling them to deliver transformative solutions while ensuring robustness and scalability. Main Responsibilities: The core responsibilities of this role include: • Designing and building LLM-powered applications and workflows. • Implementing Retrieval-Augmented Generation (RAG) at scale using high-accuracy retrieval pipelines. • Managing agent orchestration and tool integration through advanced frameworks. • Establishing LLMOps & CI/CD for efficient prompts and agents. • Integrating safety, security, and governance measures into AI systems. • Optimizing inference performance and overall operational costs. • Conducting automated testing and evaluation to measure system effectiveness. • Curating enterprise data and developing feature stores for agent usage. • Maintaining observability and reliability through comprehensive monitoring techniques. • Transitioning research findings into production-ready applications. Key Requirements: • BSc/MSc/PhD in Computer Science, Data Science, or related field. • 5+ years of experience building cloud-based ML/AI systems in production. • 8+ years of hands-on Python experience for AI/ML applications. • 3+ years of experience in deploying LLM or Generative AI applications. • Proficiency with agent frameworks such as LangGraph, Semantic Kernel, and OpenAI Assistants. • Practical experience with cloud-based GenAI stacks (Azure, AWS, Google). • Strong collaboration skills with a product-oriented mindset. Nice to Have: • Experience with observability tools like LangSmith, W&B, OpenTelemetry. • Knowledge of serving and scaling infrastructure, including vLLM and Triton. • Expertise in orchestration tools such as Airflow or Kubeflow. • Familiarity with reinforcement learning techniques and multi-agent systems. • Experience in building enterprise assistants integrated with business systems. Other Details: This role offers the opportunity to work in a dynamic and innovative environment focused on the development of advanced AI solutions. The position may involve remote work, fostering a flexible work-life balance while contributing to impactful projects.