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