Agentic AI Engineer (IS Team)

We are looking for a Hands-On Agentic AI Engineer 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 opportunities
• Design and implement agent-based AI workflows to automate internal processes end-to-end
• Design and build LLM-powered tools (agents, workflows, copilots)
• Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
• Deep-dive into company data – validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
• Take solutions from idea → prototype → production
• Governance, Reliability & Security
• Ensure AI workflows comply with security, privacy, and compliance requirements
• Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
• Monitor AI performance, errors, hallucinations, and drift
• Collaboration & Enablement:
• Partner with business owners and IS teams to identify automation opportunities
• Translate business requirements into AI-driven solutions
• Document AI flows, decision logic, and operational runbooks
• Educate internal teams on AI capabilities and limitations

Requirements:

• 2-3 years of proven experience with AI solutions
• Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code
• Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems
• Strong Python skills and a production-focused engineering mindset
• Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions
• Experience bringing AI agents, GenAI applications, or automation solutions into production
• Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices
• Ability to work directly with non-technical stakeholders and translate business needs into technical solutions
• Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage
• Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage
• Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven