Senior AI Engineer

Glint Tech Solutions•New York, NY

4d•Remote

About The Position

Our client, a leading technology organization, is seeking a Senior AI Engineer to design and deliver scalable Generative AI solutions in a production environment. The role focuses on building enterprise-grade AI products using Python, React, and AWS while leveraging modern architectures including LLM pipelines, RAG, agentic systems, and MCP frameworks. The ideal candidate brings deep Gen AI expertise, strong cloud engineering fundamentals, and the ability to lead cross-functional delivery in an Agile environment.

Requirements

7+ years of progressive engineering experience with 1–2 years leading AI or emerging tech initiatives
Hands-on expertise with Gen AI models — GPT, Claude, Gemini, LLaMA — and advanced prompt engineering
Strong experience with Agentic AI, MCP, and Graph/RAG architectures
Proficiency in Gen AI frameworks — LangChain, LlamaIndex, Amazon Bedrock
Web development proficiency in Next.js, React, and TypeScript/JavaScript
Deep AWS expertise — EC2, EKS, Fargate, Lambda, Athena, Glue, Lake Formation
Infrastructure as Code experience — Terraform, Docker, Puppet
Strong Python programming skills — NumPy, Pandas, Matplotlib, Boto3
Vector and graph database experience — Weaviate, Milvus, PGVector, Neo4J, Neptune
ETL orchestration experience using Apache Airflow/DAGs
Experience with automated testing frameworks — Ragas, Playwright, Selenium, Zephyr
Familiarity with LLM fine-tuning techniques
Strong understanding of SDLC best practices, DevSecOps, and Agile Scrum/Kanban
Experience with JIRA, Confluence, and JIRA Align

Nice To Haves

Experience with BI tools such as QuickSight or Tableau
Knowledge of financial markets and enterprise data systems
Background working in highly regulated or enterprise-scale environments

Responsibilities

Design, architect, and build scalable Gen AI solutions including LLM pipelines, Agentic AI, MCP, Graph/RAG architectures, and prompt-based applications
Lead end-to-end delivery of production-ready AI products using Python, React/Next.js, and AWS
Implement cloud-native solutions across AWS EKS, Lambda, Fargate, Glue, and Athena
Leverage Gen AI frameworks including LangChain, LlamaIndex, and Amazon Bedrock
Design and optimize vector and graph database solutions — Weaviate, Milvus, PGVector, Neo4J, Neptune
Build and orchestrate ETL pipelines using Apache Airflow/DAGs
Optimize AI product performance and drive continuous experimentation with cutting-edge Gen AI methods and toolchains
Serve as SME on Gen AI technologies and actively contribute to shaping the organization's AI roadmap
Own timelines, deliverables, and project milestones using Agile Scrum/Kanban practices
Monitor operational metrics and incident data to drive continuous improvement and reliability
Ensure adherence to DevSecOps protocols, governance standards, and SDLC best practices