Machine Learning Engineer

We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, build, and deploy next-generation AI solutions. In this role, you will work at the intersection of LLMs, autonomous agents, retrieval-augmented generation (RAG), and enterprise-scale systems, leveraging Azure AI Foundry, Copilot Studio, and modern orchestration frameworks.You will collaborate closely with product managers, architects, and application teams to deliver intelligent, production-grade AI agents that integrate seamlessly with business workflows and enterprise data. Required QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field5+ years of experience in machine learning, AI engineering, or applied MLStrong proficiency in Python for ML and backend developmentHands-on experience building LLM-based applicationsPractical experience with agentic AI patterns (tool calling, planning, memory, reflection)Experience with LangChain or similar agent orchestration frameworksSolid understanding of RAG architecturesExperience with vector databases (e.g., Azure AI Search, Pinecone, etc.)Familiarity with Azure cloud services and enterprise-grade deploymentsHands-on experience with MCP and/or A2A agent communication frameworks Key ResponsibilitiesDesign and implement agentic AI systems capable of planning, tool use, memory, and multi-step reasoningBuild and deploy AI solutions using Azure AI Foundry and Copilot StudioDevelop RAG pipelines integrating structured and unstructured enterprise dataImplement and optimize vector databases for semantic search and long-term agent memoryOrchestrate LLM-based agents using frameworks such as LangChain (or equivalent)Develop scalable backend services and APIs using PythonIntegrate AI agents with enterprise tools, APIs, and workflowsEvaluate, monitor, and optimize agent performance, reliability, and costApply responsible AI principles including security, privacy, and governanceStay current with advancements in LLMs, agent architectures, and Azure AI services Preferred QualificationsDirect experience with Azure AI Foundry and Copilot StudioExperience integrating AI agents into enterprise workflows or SaaS platformsKnowledge of prompt engineering, evaluation frameworks, and guardrailsExperience with CI/CD, MLOps, or AI observabilityUnderstanding of security, identity, and compliance in enterprise AI systems Nice-to-HaveContributions to AI prototypes, internal platforms, or open-source projectsExperience moving AI solutions from prototype to productionStrong communication skills and ability to explain complex AI systems to non-experts