Agentic Solutions Engineer

Syntion — Australia · Posted ~3 hours ago

Hybrid

Skills

AI engineering solutions architecture cloud AI pipelines multi-agent systems workflow design MCP (Model Context Protocol) system integration Azure TypeScript AI MCP cloud LLMs

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Summary ✨ AI‑Generated

Join a small, highly technical team building next-generation AI and connected-device solutions. You will design autonomous multi-agent systems, workflow layers, memory mechanisms, and structured tool usage, while architecting scalable cloud AI pipelines and integrating them with enterprise systems.

Highlights

A hands-on role combining software development, solutions architecture, and strategy. You will design scalable AI systems, work with modern agentic architectures, integrate cloud pipelines, and connect advanced AI capabilities with enterprise workflows.

Description

About Us We are pioneering wearable technology that transforms raw sensor, visual, and audio data into real-time, actionable insights. In parallel we are developing an advanced artificial intelligence platform dedicated to business operations across various industries. Our platform enables smarter business practices, ensuring organizations remain competitive in a rapidly evolving market. Location: Melbourne, Australia (Hybrid / Remote considered) Team Size: 20 engineers (hardware, software, AI) + 3 commercial strategists Role This is a role combining hands-on development, solutions architecture, and strategy. You will help design & build scalable solutions, integrate cloud-based AI pipelines, and architect interoperable systems that seamlessly connect our wearable devices with enterprise workflows. Responsibilities Design autonomous multi-agent systems, workflow layers, long/short-term memory mechanisms, and structured tool usage via MCP (Model Context Protocol).Build retrieval-augmented generation pipelines using vector databases and integrate real-time inputs (vision, audio, sensors) for live decision-making.Build scalable services on Azure, optimize cost/latency, and build frontend applications, dashboards, and internal management tools using TypeScript and React. Requirements Hands-on experience building autonomous agents, multi-agent workflows, tool-using LLM systems, and MCP (or equivalent tool interfaces).Practical experience constructing RAG pipelines, working with embeddings, and managing vector databases.Strong proficiency in TypeScript and React for building AI-driven web apps, alongside expertise in designing and consuming APIs.Experience deploying, scaling, and maintaining distributed AI systems on Azure with a focus on reliability and performance. Nice to Have Industry experience in Industrial IoT, wearable devices, or accessibility products.Experience with hybrid cloud/edge architectures and processing real-time vision, audio, or sensor streams.Hands-on background in building internal tooling for prompt management, AI evaluation, and monitoring. Equity-Based Compensation This is a sweat equity opportunity – we are not offering a conventional salary at this time. Instead, you will receive an equity stake in the company commensurate with your contribution. If you’re looking for a standard paycheck, this role won’t be a fit. If you’re excited to build a groundbreaking product and own a part of its success, we want to talk to you. To Apply If this challenge sparks your imagination, please submit your resume in response to this LinkedIn posting. Feel free to include links to any relevant projects or portfolio. You can also reach out via email at info@syntionai.com with your CV or questions. We look forward to hearing from you and potentially building the future together!