Job Description:

We are seeking an energetic and technically sharp Junior Forward Deployed AI Engineer to support the rapid prototyping, discovery, and proof-of-concept (PoC) delivery of AI-powered solutions across our global Supply Chain and Manufacturing functions.

This is a dynamic, fast-paced role where you will work alongside senior engineers to bridge the gap between AI development and real-world shop floor operations. You will spend time embedding directly with frontline teams—visiting manufacturing sites and warehouses—to understand their day-to-day challenges, and then turn those insights into working, AI-enabled software prototypes.

The ideal candidate is a proactive builder who is comfortable working with Python, eager to learn cutting-edge GenAI frameworks, and excited about collaborating directly with operational business teams.

Key Responsibilities

Frontline Engagement & Discovery

• Frontline Shadowing: Participate in site visits and shadow frontline teams (Logistics, Manufacturing, Procurement) to understand operational bottlenecks first-hand.

• Requirements Translation: Support senior engineers in translating user feedback and "messy" real-world problems into structured user stories, functional specs, and process flows.

• Active Scrum Participant: Maintain and update the team's agile backlog, actively participate in daily standups, and assist in coordinating sprint planning.

Rapid AI Prototyping & Development

• Hands-on Coding: Write clean, documented, and functional Python code to build, refine, and test AI-enabled prototypes.

• Support RAG & Agentic Systems: Work under the guidance of senior engineers to construct and tune Retrieval-Augmented Generation (RAG) pipelines, semantic search indices, and multi-agent system workflows.

• Iterate & Refine: Actively modify prototypes based on immediate feedback from factory floor workers and warehouse operators.

• Adopt Best Practices: Learn and apply enterprise software development standards to ensure prototype code is structured for eventual production handoff.

Systems Integration & Data Engineering

• API Configuration: Assist in building and configuring APIs to connect AI applications to shop floor platforms (e.g., Poka, Weaver) and document repositories.

• Data Wrangling: Clean, structure, and prepare unstructured documents, telemetry feeds, and SQL database exports for ingestion into AI systems.

Typical Use Cases

• Standard Operating Procedure (SOP) Assistants designed to help operators look up technical guidelines hands-free.