AI Engineer

AI Engineer (Agentic Workflow Automation)We are looking for an AI Engineer to design and build intelligent workflow automation systems using modern LLMs, agentic AI, and orchestration frameworks. The role focuses on developing production-ready AI pipelines that automate operational processes, extract and structure information from documents, coordinate multi-step reasoning workflows, and integrate with enterprise systems. You will work closely with business, operations, and engineering teams to identify high-value automation opportunities and transform them into scalable AI-driven solutions.ResponsibilitiesDesign and develop AI-powered workflow automation systems using LLMs and agentic architecturesBuild multi-step AI orchestration pipelines using frameworks such as LangGraph, LangChain, or similar toolsDevelop OCR and document intelligence solutions for extracting, validating, and structuring unstructured dataIntegrate AI services with internal systems, APIs, databases, and cloud platformsBuild retrieval-augmented generation (RAG) systems using vector databases and embedding pipelinesDesign prompt engineering, tool-calling, and memory strategies for autonomous or semi-autonomous AI agentsCollaborate with stakeholders to translate operational processes into automated AI workflowsEvaluate model accuracy, reliability, latency, and operational risks in production environmentsMonitor and improve AI system performance, observability, and cost efficiencyParticipate in rapid prototyping, experimentation, and deployment of new AI capabilitiesRequirementsDegree in Computer Science, Artificial Intelligence, Software Engineering, or a related fieldStrong programming skills in PythonExperience with LLM frameworks such as LangGraph, LangChain, CrewAI, or equivalent technologiesFamiliarity with LLM APIs and modern AI application architecturesExperience with OCR/document extraction tools such as Azure Document Intelligence or equivalent solutionsUnderstanding of vector databases, embeddings, and RAG architecturesKnowledge of SQL and data processing pipelinesFamiliarity with cloud platforms such as Microsoft AzureExperience with Git, Docker, and modern development workflowsStrong analytical thinking skills and the ability to work independently in ambiguous problem spaces