Agentic AI Engineer

We are looking for a Hands-On Agentic AI Engineer (Information Systems Team) to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions. Responsibilities:Partner directly with business teams to identify automation and optimization opportunitiesDesign and implement agent-based AI workflows to automate internal processes end-to-endDesign and build LLM-powered tools (agents, workflows, copilots)Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flowsDeep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundationsTake solutions from idea → prototype → productionGovernance, Reliability & SecurityEnsure AI workflows comply with security, privacy, and compliance requirementsImplement guardrails, approvals, logging, and human-in-the-loop mechanisms where neededMonitor AI performance, errors, hallucinations, and driftCollaboration & Enablement:Partner with business owners and IS teams to identify automation opportunitiesTranslate business requirements into AI-driven solutionsDocument AI flows, decision logic, and operational runbooksEducate internal teams on AI capabilities and limitationsRequirements: 2-3 years of proven experience with AI solutionsStrong hands-on software development experience, including writing, maintaining, and delivering production-quality codeStrong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systemsStrong Python skills and a production-focused engineering mindsetExperience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutionsExperience bringing AI agents, GenAI applications, or automation solutions into productionSolid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practicesAbility to work directly with non-technical stakeholders and translate business needs into technical solutionsExperience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantageExperience with enterprise AI governance, security, compliance, and privacy requirements is an advantageStrong builder mindset: proactive, independent, hands-on, business-oriented, and impact-drivenThis position is open to all candidates.