Website Kinaxis
Staff Software Developer (AI/ML – Agentic AI) | Kinaxis
Kinaxis, a global leader in supply chain orchestration, is hiring a Staff Software Developer for its AI/ML team in Chennai. Kinaxis is moving beyond traditional forecasting into Agentic AI, building autonomous workflows where AI systems can reason, plan, and act to solve global supply chain disruptions.
As a Staff-level engineer, you won’t just write code; you will be the architectural anchor for enterprise-grade AI systems that integrate Large Language Models (LLMs) with real-world logistics data.
🟢 Role Overview & Strategic Impact
This role sits at the cutting edge of “Agentic Workflows”—moving AI from a chatbot to an autonomous problem-solver.
-
Agentic Orchestration: Design and ship end-to-end solutions using RAG (Retrieval-Augmented Generation) and vector databases. You will use frameworks like LangGraph or OpenAI Agent SDK to create AI agents that can navigate supply chain volatility.
-
Architectural Leadership: Drive the design of scalable, resilient, and modular AI systems. You are responsible for ensuring that complex ML models are maintainable and production-ready.
-
AI-Augmented Development: Kinaxis expects you to be a power user of autonomous coding tools like GitHub Copilot or Claude Code to accelerate feature delivery.
-
Mentorship & Influence: Oversee junior developers and act as a technical advisor to management. You will bridge the gap between high-level product requirements and technical execution.
-
MLOps Excellence: Ensure the entire lifecycle—from research to deployment—is reproducible and high-quality, leveraging Docker, Kubernetes, and GitHub Actions.
📊 Candidate Profile & Benchmarks (2026)
Based on 2026 market standards for Staff Engineering roles in specialised AI/Supply Chain SaaS:
🎯 Required Technical Arsenal
-
Modern AI Frameworks: Practical experience with LangGraph, Google ADK, or OpenAI Agent SDK. You must understand how to engineer context for production-grade agentic workflows.
-
Software Craftsmanship: Expert-level Python. Ability to balance fast-paced shipping with long-term code quality and maintainability.
-
Cloud & Infrastructure: Hands-on experience with Kubernetes and Big Data technologies. Familiarity with Terraform for infrastructure automation is highly preferred.
-
Quality Assurance: Proficiency in PyTest and building automated CI/CD pipelines via GitHub Actions.
-
Problem Solving: A “quick starter” mindset with the ability to translate vague product needs into concrete architectural designs.
To apply for this job please visit remotejobhiring.com.
