Agentic AI/ML Engineer

Job ID: SRJ_7933Posted: 2025-11-20Location: Redmond, WASalary: USD 120-130 / Yearly (Full Time)Employment Type: Full TimeIndustry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsJob RoleAgentic AI/ML EngineerLocationRedmond, WAPrimary SkillsMachine Learning, Python, LLM , Open AI API, LangChain, MLOps, Microsoft Graph API (Exposure)Job DescriptionOverview : The AI & ML team at Microsoft 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. your role will align with your expertise and interests: Autonomous Agent Development – building LLM-based decision-making agents and advancing conversational AI AI Integration & MLOps – enabling scalable infrastructure, data pipelines, and operational excellence Quality & Integration Engineering – focusing on agent behavior testing, UI/UX integration, and platform reliability Skills & Required Qualifications :3+ years of experience in software engineering, data science, or machine learning Proficiency in Python for development and scripting Hands-on experience with LLMs, prompt engineering, and the OpenAI APIFamiliarity with Azure services, cloud infrastructure, and CI/CD pipelines Preferred Qualifications:Experience working with multi-agent frameworks such as AutoGen, Langchain, or CrewAIKnowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies Strong debugging skills and a solid understanding of security and data protection principles Ability to communicate technical concepts effectively with both technical and non-technical stakeholders SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.