Software Engineer

• AI-First Perspective: You aren’t just calling APIs; you are architecting agentic frameworks (LangGraph, LangChain) and implementing RAG protocols that redefine how we manage software development.
• Full Stack Ownership: You will participate in the entire lifecycle - from conceptualization and RAG-architecture to production-grade deployment and automation.
• A Culture of Empowerment: We believe in diverse perspectives, psychological safety, and progressive collaboration. Your ideas have a direct path to production.

Who you are

We are looking for Software Engineers who are excited by ambiguity and passionate about engineering excellence. If you thrive on solving sophisticated integration challenges and want to influence how innovative solutions are delivered globally, we want to hear from you.

What You’ll Do

• Drive enablement of MCP Tools and AI Agents, focusing on the development and management of applications using Retrieval Augmented Generation (RAG)
• Develop sophisticated AI Agents with comprehensive security and semantic protocols.
• Deliver secure, scalable, high performing, AI Native solutions across complex enterprise ecosystems
• Implement sophisticated agentic frameworks (LangGraph, LangChain) to enable robust business capabilities
• Develop scalable, AI driven Test Automation frameworks using tools like Playwright, Selenium, Cypress or UiPath
• Solve sophisticated production issues for root cause analysis and implement fixes
• Exhibit excellent communication, interpersonal, and presentation skills.

Are you ready to work at the intersection of a large-scale Supply Chain and the absolute innovative of AI?, * Education: A bachelor’s degree with at least 5 years of related experience or a master’s degree with 3 years of related experience.

• Gen AI/Agentic AI experience is a must
• Programming: Strong skills in Java, Python or other mainstream programming languages, Object-Oriented Programming (OOP) principles and framework for building scalable and Distributed systems.
• Architecture: Microservices, RESTful services, API management, Apache Kafka.
• Databases: Demonstrated experience in relational, in-memory and NoSQL databases (Oracle, MongoDB, Snowflake)
• AI/ML: Agentic AI, RAG, Vector Databases, Prompt Engineering, LLM integration, IDE (Copilot, Cursor etc.)
• Good understanding of Agile and DevOps practices and toolsets
• A demonstrated ability to drive customer engagement and foster a collaborative environment
• Ability to manage ambiguity, coupled with strong analytical thinking and an innovative approach

Preferred Qualifications:

• Familiarity with cloud services such as Oracle Cloud, GCP, AWS or Azure.
• Experience in Test Automation using tools like PlayWright, Selenium, Cypress or UiPath.
• Certifications in Java, DB, Cloud, AWS and AI/ML
• Supply Chain demonstrated ability is a plus.