Senior Generative AI & Agentic Systems Engineer

Introduction & Summary: The candidate is responsible for designing, developing, and implementing robust AI applications that leverage large language models (LLMs) within agentic systems to enhance business processes and efficiency. Main Responsibilities: • Design and build LLM-powered applications and agentic systems. • Implement Retrieval-Augmented Generation (RAG) pipelines at scale. • Orchestrate agents and integrate tools using frameworks like LangGraph and OpenAI Assistants. • Manage LLMOps and CI/CD for prompts and agents. • Ensure safety, security, and governance in AI implementations. • Optimize inference performance and cost management strategies. • Conduct automated testing and evaluations for AI applications. • Handle data engineering for Generative AI applications. • Maintain observability and reliability of systems. • Transition research outputs to production applications. • Collaborate with cross-functional teams for project success. Key Requirements: • Strong programming skills (Python required; TypeScript/Node a plus). • Solid understanding of machine learning and statistics. • Experience with ML pipeline development and deployment. • Knowledge of cloud services (Azure/AWS/GCP). Nice to Have: • Familiarity with LLMs and transformers. • Hands-on experience with agentic frameworks. • Expertise in retrieval techniques and domain adaptation. • Proficiency in data engineering and big data technologies. • Knowledge of vector databases and search systems. • Experience with MLOps practices. • Understanding of multimodal AI integration. • Exposure to frontend technologies for AI applications. Other Details: This role offers an opportunity to work in a dynamic environment with a focus on innovative AI solutions. Ideal candidates are those who thrive in fast-paced settings and have a passion for advancing technology.