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MABASA / LINKEDIN

Senior AI Engineer – Agentic AI & AWS

BULLIT MANAGEMENT SERVICES LIMITED

Location
Sydney, New South Wales, Australia
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

* 5\+ years of software engineering experience with at least 2 years in Generative AI or AI Engineering. * Strong experience building AI agents, agent orchestration, and workflow automation solutions. * Hands\-on experience with: * Model Context Protocol (MCP) * API integration (REST, GraphQL, Webhooks) * Tool calling and function calling patterns * Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK * Experience with Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Gemini, or open\-source models. * Strong programming skills in Python and/or TypeScript. * Experience implementing RAG architectures and integrating enterprise data sources. **Cloud Experience (AWS Preferred)** * Strong hands\-on experience with AWS services and cloud\-native application development. * Experience with AWS AI/ML services, serverless architectures, API Gateway, Lambda, ECS/EKS, and cloud integration patterns. * Knowledge of deploying and managing scalable AI workloads in AWS environments. **Key Responsibilities :** * Design and develop AI agents and multi\-agent workflows using modern Agentic AI frameworks. * Build integrations between AI solutions and enterprise applications using APIs, MCP, web services, and cloud\-native technologies. * Develop scalable AI\-powered applications, copilots, assistants, and automation solutions. * Implement Retrieval Augmented Generation (RAG) and knowledge\-based AI solutions leveraging enterprise data. * Collaborate with business and technology stakeholders to identify, design, and deliver AI use cases. * Ensure security, governance, reliability, and operational excellence of AI solutions. * Drive adoption of emerging AI technologies, frameworks, and best practices. *

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