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About Micro1: Join our team as a Software AI Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure. This position offers the unique opportunity to work at the intersection of applied AI research and high-impact, production-grade deployment, leveraging the latest in LLMs, RAG, and multi-agent systems. Key ResponsibilitiesDesign, build, and deploy advanced AI/ML solutions for government clients, ensuring robust and secure implementation at scale.Collaborate with internal and external teams to architect and enhance AI-driven platforms, focusing on RAG, LLM orchestration, and multi-agent workflows.Develop and maintain APIs, SDK integrations, and scalable pipelines, utilizing Python and RESTful best practices.Leverage cloud platforms such as AWS GovCloud, Vertex AI, and AWS Bedrock to deliver secure, enterprise-grade solutions.Implement data ontologies, metadata catalogs, and ETL pipelines to support advanced AI and analytics use cases.Apply best practices in prompt engineering, LangGraph/LangChain, and tool integration for agentic AI systems.Ensure clear, concise, and effective written and verbal communication across all collaborative efforts.

About Micro1: Join our team as a Robotics Software Engineer and contribute to building data systems for advanced robotics applications. You will help develop and maintain pipelines for multi-camera and sensor data ingestion, supporting efficient capture, synchronization, and processing of high-throughput data.What you'll be doing:Support the development of multi-camera ingestion pipelines for synchronized data capture.Work with DepthAI and camera systems to integrate and manage visual data streams.Help build and maintain video + sensor data pipelines.Assist in implementing calibration workflows for multi-camera and sensor setups.Work with MCAP and Protobuf for data recording and serialization.Contribute to high-throughput data capture systems.Troubleshoot and improve reliability of data pipelines.Document systems and workflows clearly.