AI DeveloperLocation: Redmond, WA (Onsite – 3 days in a week)Contract: $70/hr.Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The AI & ML team is looking for passionate AI Agent Developers to help shape the future of intelligent multi-agent systems. You'll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration—building solutions that power scenarios from fraud prevention to customer support automation.We're hiring across several focus areas, and your role will align with your expertise and interests:Autonomous Agent Development – building LLM-based decision-making agents and advancing conversational AIAI Integration & MLOps – enabling scalable infrastructure, data pipelines, and operational excellenceQuality & Integration Engineering – focusing on agent behavior testing, UI/UX integration, and platform reliabilityAs an AI Agent Developer, you will:Design, build, and iterate on AI agents leveraging GPT models, multi-agent frameworks, and Microsoft's AI ecosystemDevelop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoringConduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge casesIntegrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systemsApply best practices in security, compliance, and privacy to all aspects of agent developmentCollaborate closely with cross-functional partners including engineering, product, and design teamsDocument agent behavior, test results, and learnings to ensure transparency and knowledge sharingRequired Qualifications:3+ years of experience in software engineering, data science, or machine learningProficiency in Python for development and scriptingHands-on experience with LLMs, prompt engineering, and the OpenAI APIFamiliarity with Azure services, cloud infrastructure, and CI/CD pipelinesPreferred Qualifications:Experience working with multi-agent frameworks such as AutoGen, Langchain, or CrewAIKnowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoringExposure to Power Platform, Microsoft Graph API, or enterprise integration technologiesStrong debugging skills and a solid understanding of security and data protection principlesAbility to communicate technical concepts effectively with both technical and non-technical stakeholders