EG America is looking to transform visionary concepts into functional prototypes and accelerate innovation across the organization by developing end-to-end digital experiences, seamless omnichannel solutions, and rapid, customer-centric prototyping at scale.
Requirements
- A minimum of 5 years of professional experience in a full-stack development or solutions architect role, with a focus on innovation and digital transformation.
- Proven, hands-on experience with rapid prototyping, taking ideas from concept to functional prototype in short cycles.
- Hands-on expertise with retail AI tools, frameworks (e.g., TensorFlow, PyTorch), and platforms, with a deep understanding of their application to inventory, supply chain, customer engagement, and business operations.
- Strong proficiency across the full stack, including front-end technologies (e.g., React, Vue.js), back-end languages (e.g., Python, Node.js), and database systems.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying AI/ML services.
- Familiarity with MLOps principles and tools for managing machine learning lifecycle.
- Proficient at hands-on prototyping & solution design using AI Tools (Ex: Cursor, Replit & Figma)
Responsibilities
- Lead the end-to-end design, development, and deployment of rapid prototypes and proof-of-concepts (POCs) using AI assisted development practices and tools like Cursor, GitHub Copilot to generate boilerplate code, scaffold APIs, and create functional UI components, enabling faster stakeholder validation.
- Architect and build scalable, enterprise-grade AI solutions that address key retail challenges in inventory management, supply chain optimization, personalized customer engagement, and operational efficiency.
- Utilize a comprehensive full-stack skill set to build and integrate both front-end (e.g., customer-facing applications, associate tools) and back-end (e.g., data processing pipelines, APIs, AI model deployment) components of innovative solutions.
- Develop MVPs that adhere to industry’s established data security & privacy standards. MVPs must be “enterprise ready” for eventual scaling.
- Translate data-driven insights into actionable operational improvements and new customer experiences. Meticulously leverage data to develop & refine MVPs.
- Partner closely with business stakeholders, product managers, data scientists, and IT teams to understand core challenges, define project scope, and ensure tight alignment between technical solutions and strategic business objectives.
- Serve as a subject matter expert within EG America on the application of AI in retail. Stay at the forefront of emerging AI tools, frameworks, and startup methodologies, bringing best-in-class practices to the team.
Other
- Ability to demo prototypes, pitch solutions, and translate tech for business partners and stakeholders.
- Excellent cross-functional relationships across various departments such as IT, Finance, Marketing, Finance, Operations and Customer Service etc. and EG Field Team members (Stores, DMs & RMs)
- Exceptional communication skills, influencing without authority and stakeholder management.
- Growth mindset, resilience and deep curiosity.
- Adaptability and change agility.
