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Senior Agentic AI / GenAI Engineer
EazyML
5 hours ago
Full-time
On-site
New York City, New York, United States
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
Are you a hands-on GenAI expert who loves building production-grade agentic systems and talking directly with customers about how AI solves real business problems? We want to hear from you. We're looking for a Senior Agentic AI/Generative AI Engineer with EXTENSIVE HANDS ON EXPERIENCE to help architect our next-generation AI-driven products - from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations. Key Responsibilities
Architect and build scalable Generative AI and agentic AI applications, end to end Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines Select, customize, fine-tune, and optimize state-of-the-art LLMs Design and own full ML/GenAI pipelines - training, deployment, monitoring, lifecycle management Build APIs, microservices, and integration frameworks to bring AI into enterprise products Champion responsible AI practices - mitigating hallucinations, bias, and reliability risks Partner directly with customers, product, and engineering to turn business needs into robust AI architecture Mentor engineers and help shape our long-term AI platform strategy Required Qualifications
8+ years in traditional ML, including 2+ years hands-on with Generative AI Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems Real-world experience with LangChain/LangGraph or similar agentic frameworks Strong Python skills - API wrappers, third-party integrations, internal tooling Solid foundation in Transformers, CNNs, RNNs - hands-on with TensorFlow, PyTorch, Scikit-learn Experience with NLP, embedding models, and vector databases Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes Excellent communication skills - you can translate technical depth for non-technical stakeholders Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field Comfort with startup pace and strong ownership mentality Preferred Qualifications
LLM fine-tuning experience (LoRA, RLHF, PEFT) Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation) AI observability/monitoring tool experience Familiarity with AI governance and compliance (GDPR, SOC 2) Prior consulting or solution-architecture experience shipping enterprise AI products Background in financial services, healthcare, or insurance Why Join Us
Join a Gartner-recognized Responsible AI company at the forefront of enterprise GenAI adoption, with the opportunity to work on cutting-edge agentic AI systems alongside a team connected to leading AI ventures like Amelia.ai. This is a fully remote role with the flexibility to work from anywhere in USA, must have authorization to work in US.
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Are you a hands-on GenAI expert who loves building production-grade agentic systems and talking directly with customers about how AI solves real business problems? We want to hear from you. We're looking for a Senior Agentic AI/Generative AI Engineer with EXTENSIVE HANDS ON EXPERIENCE to help architect our next-generation AI-driven products - from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations. Key Responsibilities
Architect and build scalable Generative AI and agentic AI applications, end to end Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines Select, customize, fine-tune, and optimize state-of-the-art LLMs Design and own full ML/GenAI pipelines - training, deployment, monitoring, lifecycle management Build APIs, microservices, and integration frameworks to bring AI into enterprise products Champion responsible AI practices - mitigating hallucinations, bias, and reliability risks Partner directly with customers, product, and engineering to turn business needs into robust AI architecture Mentor engineers and help shape our long-term AI platform strategy Required Qualifications
8+ years in traditional ML, including 2+ years hands-on with Generative AI Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems Real-world experience with LangChain/LangGraph or similar agentic frameworks Strong Python skills - API wrappers, third-party integrations, internal tooling Solid foundation in Transformers, CNNs, RNNs - hands-on with TensorFlow, PyTorch, Scikit-learn Experience with NLP, embedding models, and vector databases Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes Excellent communication skills - you can translate technical depth for non-technical stakeholders Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field Comfort with startup pace and strong ownership mentality Preferred Qualifications
LLM fine-tuning experience (LoRA, RLHF, PEFT) Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation) AI observability/monitoring tool experience Familiarity with AI governance and compliance (GDPR, SOC 2) Prior consulting or solution-architecture experience shipping enterprise AI products Background in financial services, healthcare, or insurance Why Join Us
Join a Gartner-recognized Responsible AI company at the forefront of enterprise GenAI adoption, with the opportunity to work on cutting-edge agentic AI systems alongside a team connected to leading AI ventures like Amelia.ai. This is a fully remote role with the flexibility to work from anywhere in USA, must have authorization to work in US.
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