Junior AI Engineer

Enterprise AI and automation company providing agentic process management, AI-agent implementation, and managed automation services.

Princeton, New Jersey, United States
About WonderBotz

WonderBotz LLC helps enterprises launch, modernize, and manage intelligent operations using AI agents, automation, human expertise, and governance.

View jobs by WonderBotz

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will help design, build, test, and deploy Generative AI and agentic AI solutions under senior-engineer guidance. You will develop LLM-powered components, retrieval pipelines, prompts, integrations, documentation, and delivery practices while identifying risks in model performance, data quality, and security.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience
  • 0–3 years of professional software development experience
  • Foundational understanding of LLMs, prompt engineering, and RAG architectures
  • Python proficiency
  • Basic knowledge of REST APIs and AWS or Azure
  • Familiarity with Git, GitHub, and CI/CD concepts
  • Willingness to learn Agile, Lean, and ITIL methodologies

Responsibilities

  • Assist with designing and developing LLM-powered applications, RAG pipelines, agentic workflows, and multi-step agents
  • Build and maintain vector-database retrieval components and semantic search
  • Apply prompt engineering to improve LLM solution accuracy and reliability
  • Support solution-feasibility and implementation discussions with stakeholders
  • Integrate GenAI components with enterprise systems through REST APIs, webhooks, AWS Lambda, and Azure
  • Modernize automation assets with AI-driven decisioning features
  • Document solution designs, test and evaluation reports, and deployment notes
  • Support CI/CD and monitoring with Git, GitHub Actions, Jenkins, and Splunk
  • Identify and flag model-performance, data-quality, and security risks

Benefits

  • Group medical
  • Vacation
  • Holidays

Hiring Process

Two coding assessments.