Description

• Design, build, and deploy agentic AI systems using generative AI models, agent frameworks, custom orchestrators, enterprise systems, APIs, and third‑party tools.
• Develop and maintain Retrieval‑Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior.
• Collaborate closely with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver production‑ready AI solutions.
• Monitor, evaluate, and optimize agent performance, ensuring safety, accuracy, trustworthiness, and high‑quality user experience.
• Stay up to date with advancements in multi‑agent orchestration, RAG techniques, cognitive architectures, and AI safety practices.
• Work with business teams to understand requirements and deliver scalable, enterprise‑grade data and AI solutions.
• Demonstrate strong experience in enterprise‑level data ingestion, transformation, analysis, and problem‑solving, along with effective cross‑functional communication skills

Key Skills

Education

Bachelor's degree