AI Engineer (Agentic Systems, Full-Stack)

AI Engineer (Agentic Systems, Full-Stack) Overview:We are seeking a skilled AI engineer to join our team. In this role, you will be responsible for designing and developing agentic systems that leverage large language models and data to create intelligent, automated workflows. You will work across the full stack, integrating data sources, building backend services, and enabling user-facing applications powered by AI.You will use APIs, databases, and other data sources to support AI-driven applications, and collaborate with analytics and engineering teams to ensure solutions are scalable, accurate, and aligned with business needs.Responsibilities:Design and develop agentic systems, including multi-agent workflows and orchestration pipelinesBuild and integrate LLM-powered applications using APIs and modern AI frameworksDevelop backend services (APIs, microservices) to support AI-driven workflowsWork with data from various sources (APIs, databases, files) to support AI use casesTransform and prepare data for use in AI models and applicationsCollaborate with analytics and visualization engineers to ensure outputs meet business requirementsAssist in building and maintaining lightweight data pipelines as neededEvaluate and improve prompting strategies, embeddings, and retrieval techniquesMonitor and optimize system performance, including latency, cost, and accuracyStay up-to-date with new AI engineering techniques and technologies and apply them as neededRequirements:Bachelor's degree in a relevant field such as Computer Science, Data Science, or a related field1–2 years of professional experience building or supporting software or AI-driven systems in a work environment (internships and co-ops included)Hands-on experience working with LLM-based applications or agentic workflows in a professional or production settingStrong programming skills, including experience with: Python (preferred), Java (optional), Scala (optional)Experience working with APIs and backend development frameworks (e.g., Flask, FastAPI) in a job settingFamiliarity with LLM frameworks or platforms (e.g., LangChain, LangGraph, OpenAI, Gemini)Basic SQL skills and experience working with structured and unstructured dataExperience contributing to applications or pipelines deployed in cloud environments such as GCP, AWS, or AzureUnderstanding of data pipelines, APIs, and system integrationsExcellent communication and collaboration skills in a team-based environmentAbility to work independently and manage multiple tasks and priorities

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