Senior Agentic AI / GenAI Engineer

EazyML; New York (NY); Remote; USD 150,000 - 230,000; Full time

Job summary

EazyML, a Gartner-recognized Responsible AI company, is seeking a Senior Agentic AI/Generative AI Engineer to architect production-grade AI systems and engage directly with customers to translate business needs into robust AI solutions.

You will lead end-to-end projects from prototyping to deployment, collaborate across product and engineering, mentor teammates, and help shape our platform while delivering scalable LangChain-based workflows and risk-mitigated, compliant AI models.

Qualifications

• 8+ years in ML with 2+ years in Generative AI.
• Strong Python skills for API wrappers and tooling.
• Hands-on experience with LangChain/LangGraph.
• Experience with LLMs and prompt engineering.
• Proficiency with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Architect end-to-end GenAI and agentic AI applications.
• Design LLM-powered workflows and prompts.
• Build AI agents using LangChain/LangGraph.
• Fine-tune and optimize state-of-the-art LLMs.
• Develop ML/GenAI pipelines including training and deployment.
• Create APIs and microservices to integrate AI into products.
• Champion responsible AI, mitigate bias and hallucinations.
• Collaborate with customers, product, and engineering.
• Mentor engineers and shape platform strategy.

Skills

GenAI expertise

Agentic systems

Python

LLMs

LangChain/LangGraph

Cloud platforms

Docker/Kubernetes

API design

Communication

Startup experience

Education

Bachelor's or Master's in CS/DS/Engineering/Math

Tools

LangChain

LangGraph

TensorFlow

PyTorch

Scikit-learn

OpenAI API

Azure OpenAI

AWS

GCP

Docker

Kubernetes

Job description

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.