Staff Python Developer, AI/ML

What you will do

• All aspects of the machine learning software development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality. You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies. You have the ability and enthusiasm to learn new technologies whether they are infrastructure language or platform and easily adapt to change.
• You will define, drive, design, and build/ship end-to-end solutions that not only solve real customer problems but also create automated AI/ML-based solutions specifically tailored for building a cutting-edge application leveraging LLM to orchestrate our customers’ supply chains, including architectural design, relevant design documentation, test planning and execution.
• You will contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research and state-of-the-art results for our customers. You will drive architecture, design, and delivery of advanced ML systems in the Product R&D team. Oversee the work of junior developers and actively engage team members to develop their skills and build shared ownership across the code base. Proactively engages outside of team to unblock other team members while progressing their own technical assignments.
• You are a team player, a quick starter and a problem solver, as well as comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. Ideally provide readily available solutions while considering technical aspects, effort, and risk.

What we are looking for

• Education: Bachelor’s degree or higher in Computer Science or a related field.
• Strong software engineering skills with a minimum of 10+ years’ experience in enterprise software development.
• Agentic & Modern AI Frameworks: Practical experience building solutions using agentic AI patterns, RAG, vector databases, and orchestration frameworks like LangGraph/Google ADK/OpenAI Agent SDK, including prompt engineering and context engineering for production of the agentic workflows.
• End-to-End ML/AI Software Development: Extensive experience developing robust ML-driven systems with Python and modern data tooling. Skilled in debugging, optimizing, testing, and delivering production-quality software.
• System Design & Architectural Thinking: Strong ability to design scalable, resilient, and modular systems, applying deep engineering judgment to ensure correctness, performance, and long-term maintainability. 
• AI Driven Software Development: Experience in leveraging agentic software development tools - such as GitHub Copilot, Claude Code or other autonomous agents - to accelerate delivery of new features and resolution of issues.
• Technical Leadership & Collaboration: Ability to guide architecture, mentor developers, and drive high-quality engineering decisions across teams.
• Technical Communication: Strong written and verbal communication skills suitable for both technical and non-technical audiences. Operate as a technical advisor to managers/leaders.
• Demonstrated experience in designing comprehensive test plans, including functional, integration, system, and acceptance testing, with strong hands-on expertise in automation frameworks such as PyTest and continuous testing using GitHub Actions.

Nice to Have

• Domain Knowledge: Experience with supply chain or manufacturing systems.
  • Proven expertise in designing, provisioning, deploying, and operating large-scale systems on AWS, Azure or GCP. Hands-on experience with Docker, Kubernetes (managed via Argo CD, Helm, or similar), infrastructure automation using Terraform, and distributed systems.