Agentic Gen AI Engineer

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain • 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.

Must Have Skills: • Agentic AI • Gen AI • Lang Graph • Lang Chain • RAG • Python

Nice to Have Skills: • Snowflake