AI/ML Engineer – Generative AI

Infosys PontoonNew York, NY
Onsite

About The Position

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.

Requirements

  • Agentic AI
  • Gen AI
  • Lang Graph
  • Lang Chain
  • RAG
  • Python
  • 9 years of experience

Nice To Haves

  • Snowflake

Responsibilities

  • 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.
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