Junior Agentic AI Engineer
Join an information systems team building production AI agents and intelligent workflows for internal business process automation. The role covers solution design, coding, prototyping, deployment, governance, and stakeholder collaboration.
Responsabilidades
- Identify automation and optimization opportunities with business teams
- Design and implement agent-based AI workflows for end-to-end process automation
- Build LLM-powered agents, workflows, and copilots
- Develop RAG pipelines and integrate multiple data sources
- Assess company data quality and address data gaps
- Take AI solutions from ideas and prototypes through production
- Apply security, privacy, compliance, guardrails, approvals, logging, and human-in-the-loop controls
- Monitor AI performance, errors, hallucinations, and drift
- Document AI flows, decision logic, and operational runbooks
- Educate internal teams about AI capabilities and limitations
Requisitos
- 2–3 years of experience delivering AI solutions
- Strong hands-on software development and production coding experience
- Experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems
- Strong Python skills and a production-focused engineering approach
- Experience building agentic AI workflows, RAG pipelines, LLM applications, copilots, or intelligent automation solutions
- Experience deploying AI agents, generative AI applications, or automation solutions to production
- Understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices
- Ability to translate business needs into technical solutions for non-technical stakeholders
Se valora
- Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar tools
- Experience with enterprise AI governance, security, compliance, and privacy requirements