Senior GenAI/Agentic AI Engineer

Company: EazyML

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-29

About this role

EazyML, (www.EazyML.com) recognized by Gartner, specializes in Responsible AI. Our solutions enable proactive compliance and sustainable automation for enterprises adopting AI at scale. We're also associated with breakthrough startups like Amelia.ai, giving our team exposure to cutting-edge AI products at enterprise scale.

About the Role

This is a full-time Remote role for a SENIOR Generative AI Engineer and ML expert. DO NOT APPLY IF YOU DON'T HAVE AT LEAST 8+ YEARS OF EXPERIENCE. You can work from home (anywhere in USA, job location is in United States)

We're looking for a Senior GenAI / Agentic AI Engineer with deep expertise in designing, building, and deploying scalable Generative AI and LLM-based systems. This is a hands-on, customer-facing role for someone who can move fluidly between solution architecture, engineering implementation, and client conversations — translating business requirements into production-grade AI systems.

You'll help shape the technical foundation for our next-generation AI-driven products: designing agentic architectures, building LLM-powered pipelines, and ensuring everything we ship meets the bar for scalability, security, and responsible AI practices. You'll work closely with customers engineering, product, and business stakeholders, to design AI solutions that are both technically sound and aligned with real business outcomes.

Key Responsibilities

  • Architect and build scalable Generative AI systems and agentic AI applications, from prototyping through production deployment.
  • Design and implement LLM-powered workflows, including prompt engineering for reflexive, self-learning, and multi-agent systems.
  • Assemble intelligent AI agents using frameworks such as LangChain and LangGraph to address a range of enterprise use cases (e.g., natural language to SQL translation, autonomous task agents, retrieval-augmented workflows).
  • Guide the selection, customization, fine-tuning, and optimization of state-of-the-art LLMs and generat...

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