AI Engineer at AMPLIFYR Limited

As an AI Engineer at AMPLIFYR.ai Limited, you will design and evolve the multi-agent systems and LLM pipelines powering their brand analytics platform. You will architect agent topologies, manage cloud infrastructure on AWS Bedrock, and build evaluation frameworks to ensure high-quality outputs. This is a hands-on role defining the future of agentic AI.

• Design and build sophisticated agent topologies such as planner/executor and supervisor/worker loops using frameworks like LangGraph, Strands, and custom SDKs.
• Architect and maintain the AWS infrastructure substrate, including ECS Fargate, Lambda, and Step Functions, to run high-performance AI workloads at scale.
• Develop a robust LLM evaluation platform with golden datasets and LLM-as-judge metrics to track cost, latency, and quality across multiple model providers.

• Brings 3-5 years of software engineering experience, including at least 2 years shipping LLM or GenAI systems into a production environment.
• Demonstrates strong Python skills and hands-on experience with agent frameworks such as LangGraph, CrewAI, or the OpenAI and Claude Agent SDKs.
• Possesses a solid foundation in AWS services and a deep understanding of RAG, including embeddings, vector stores, and reranking techniques.

• Work on a production-scale multi-agent platform that orchestrates Anthropic, OpenAI, and Perplexity models through a sophisticated and proprietary MCP server.
• Join a fast-moving team where you have the autonomy to make build-vs-buy decisions and shape the technical direction of the entire AI platform.
• Solve complex technical challenges beyond simple bootstrapping, including agent memory design, reflection loops, and multi-tenant isolation for high-stakes enterprise clients.