
Junior AI Engineer role focused on designing, building and deploying Generative AI and Agentic AI solutions for business-process automation and enterprise workflows. The engineer works under senior guidance across solution design, prompt and agent development, RAG pipelines, vector databases, API/cloud integration, testing, deployment, documentation, CI/CD and monitoring. The role also involves modernizing existing RPA/automation assets with AI-driven decisioning.
Required Skills
Computer Science Information Technology Engineering Equivalent education/experience 0–3 years professional software development experience Python proficiency
LLM concepts Prompt engineering RAG architectures Basic REST API knowledge Basic cloud-platform knowledge Git/GitHub Basic CI/CD concepts Problem-solving fundamentals Willingness to learn Agile, Lean and ITIL Preferred / Additional Skills LangChain LangGraph RAG pipelines Agentic workflows Multi-step agents Vector databases such as ChromaDB Semantic search OpenAI API Self-hosted/offline models C# JavaScript SQL AWS Azure REST APIs Webhooks AWS Lambda Blue Prism UiPath Automation Anywhere GitHub Actions Jenkins Splunk AI model evaluation Data-quality/security awareness RPA/process automation
WonderBotz
Junior AI Engineer
You'll be redirected to the company's careers page.
2 weeks ago
Job at a glance
More jobs you might like.