We’re hiring an AI Engineering Intern to help build the technical foundation that expands our AI Agent framework into Finance and enterprise automation!

🌍 Role Details:

• Team: AI Platform & Engineering
• Location: Remote / Hybrid
• Type: Internship

🚀 What You’ll Be Doing:

• Build reusable Python components that support agent reasoning, data retrieval & workflow execution
• Implement prompt engineering and context engineering patterns for predictable, structured agent behaviour
• Develop micro-workflows that interact with Workday APIs and external systems
• Contribute to the internal AI Agent orchestration framework
• Build and test LLM pipelines using Local models and configurable cloud LLM endpoints (AWS or other providers)
• Implement NLP tasks such as classification, summarisation, extraction & validation
• Optimise prompts, context windows, retrieval strategies & model performance
• Work with Workday REST/SOAP APIs to retrieve and process enterprise data
• Build Python wrappers and utilities for Workday integration endpoints
• Develop connectors to insurance or finance systems (policy admin, claims, billing)
• Implement secure API authentication and data-handling patterns
• Build Python pipelines for ingesting, transforming & validating structured/unstructured data
• Work with JSON, XML, CSV & Workday-style datasets
• Implement data quality checks, schema validation & transformation logic
• Deploy and test AI workflows on AWS cloud infrastructure
• Run and benchmark local LLMs
• Build internal tools for testing agent behaviour and performance
• Contribute to engineering documentation, standards & best practices

✅ Our Must-Haves:

• Strong Python skills (pandas, NumPy, requests, FastAPI or Flask)
• Interest in LLMs, NLP, prompt engineering & context engineering
• Ability to work with AWS cloud services (Lambda, S3, API Gateway)
• Ability to run local LLMs like Ollama with various models
• Understanding of APIs, JSON, XML & data transformation
• Comfortable with Git, VS Code & command-line tools
• Strong debugging and problem-solving ability
• Ability to break down technical problems into clear, logical steps
• Curiosity about enterprise systems, integrations & automation
• Clear communication and documentation skills
• Comfortable working in a fast-paced startup environment
• Self-driven, curious & eager to learn

🎁 What’s In It For You:

• Hands-on experience building real AI engineering components for a Workday-focused product
• Exposure to Workday APIs, enterprise integration patterns & data structures
• Practical experience with Python, NLP, LLMs & AWS AI services
• Experience running local AI models
• Deep exposure to prompt engineering & context engineering for enterprise AI
• Mentorship from senior AI engineers and Workday integration architects
• A portfolio of technical prototypes, pipelines & agent modules demonstrating real engineering capability
• Experience working in a fast-moving, product-driven startup environment

Interested?

Don’t miss this opportunity. If this sounds like you or someone in your network, we’d love to hear from you!
📧 Apply now: pmo@logicacloud.eu