Associate AI Engineer

Please note:
We are unable to sponsor H1-B's or TN's now or in the future.

This is an early-career role designed for a new or recent graduate who is excited to build a career in applied AI. You'll join our Data & Analytics team and work alongside experienced engineers and external delivery partners to help design, build, and support AI-powered solutions — including chat assistants, workflow automation, and integrations with our business systems.

You won't be expected to know everything on day one. We'll invest in your growth through mentorship, hands-on projects, code reviews, and structured onboarding. What matters most is a solid foundation in programming and AI concepts, genuine curiosity, and the drive to learn quickly. If you've built things in school, an internship, a bootcamp, or on your own — and you're eager to do it in a production environment with people who will help you level up — we'd like to hear from you.

You'll start with well-scoped tasks and grow toward more independent work as you develop. Day to day, you will:

• Help translate product requirements and user stories into AI/ML solutions, with guidance from senior engineers and the Product Manager
• Contribute to building and testing AI chat assistants and automation tools for internal teams, in collaboration with senior engineers and external partners
• Assist in integrating AI solutions with existing databases, APIs, and business applications
• Help build, train, and evaluate machine-learning and LLM-based features, learning our production, quality, and security standards as you go
• Contribute to agentic and retrieval-augmented (RAG) workflows using frameworks such as Lang Chain or similar — beginning with guided tasks and building toward independence
• Support and help maintain existing AI agents, tools, and automations, including troubleshooting with support from the team
• Write clean, well-documented code and take part in code reviews to build strong engineering habits
• Help support and promote our internal AI chat platform (WPChat) across the organization
• Document what you build, and stay current with AI/ML developments — sharing what you learn with the team
• Collaborate across IT, data, and business teams, and partner with external vendors on delivery

These are skills you'll develop on the job with mentorship — not prerequisites. Over roughly your first 6–18 months, you can expect to gain hands-on, production experience with:

• Agent orchestration frameworks (Lang Chain, Lang Graph, or Auto Gen) and patterns such as ReAct and plan-and-execute, including memory and human-in-the-loop flows
• Retrieval-augmented generation (RAG) and NLP tooling — e.g., Llama Index, Haystack, PyTorch, scikit-learn
• Deploying AI solutions on cloud platforms (AWS, Azure, or GCP) and platform tools such as Vertex AI, Amazon Bedrock, or Azure AI Foundry
• Working with AI gateways (e.g., Portkey, Kong) and MCP servers that connect to enterprise systems (Oracle, Workday, Salesforce, Service Now, Jira)
• Building and integrating RPA workflows and connecting them to LLM decision layers
• MLOps practices for deploying and monitoring models, and building conversational AI across channels (web chat, and potentially voice, SMS, and email)

• A bachelor's degree in Computer Science, Engineering, Data Science, or a related field — or an equivalent combination of education and practical experience (including bootcamps or a strong self-taught portfolio). Recent and upcoming graduates are welcome.
• Foundational programming ability in Python, demonstrated through coursework, internships, academic or personal projects, bootcamp work, or open-source…