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.
Key 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
Qualifications
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