Senior Generative AI / Agentic AI Engineer

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 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 endDesign LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systemsBuild intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelinesSelect, customize, fine-tune, and optimize state-of-the-art LLMsDesign and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle managementBuild APIs, microservices, and integration frameworks to bring AI into enterprise productsChampion responsible AI practices — mitigating hallucinations, bias, and reliability risksPartner directly with customers, product, and engineering to turn business needs into robust AI architectureMentor engineers and help shape our long-term AI platform strategy Required Qualifications: 8+ years in traditional ML, including 2+ years hands-on with Generative AIStrong experience with LLMs (GPT and similar), prompt engineering, and agentic systemsReal-world experience with LangChain/LangGraph or similar agentic frameworksStrong Python skills — API wrappers, third-party integrations, internal toolingSolid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learnExperience with NLP, embedding models, and vector databasesHands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source modelsExperience designing distributed, cloud-native architectures (microservices, REST APIs)Proficiency with AWS, Azure, or GCP, plus Docker/KubernetesMLOps/LLMOps experience — training, deployment, monitoring, lifecycle managementExcellent communication skills — you can translate technical depth for non-technical stakeholdersBachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related fieldComfort 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 experienceFamiliarity with AI governance and compliance (GDPR, SOC 2)Prior consulting or solution-architecture experience shipping enterprise AI productsBackground 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.