Senior GenAI/Agentic AI Engineer

About the 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

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 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

Experience designing distributed, cloud-native architectures (microservices, REST APIs)

Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes

MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management

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.