AI Software Engineer, Supply Chain; Remote

Position: Staff AI Software Engineer, Supply Chain (Remote)
Position

Purpose:

As an AI Staff Software Engineer in Supply Chain, you will play a critical role in designing, building, and scaling AI-driven, agentic applications that power both warehouse operations and Warehouse Execution Systems. In this role, you will work on intelligent chatbots, agentic workflows, and automation platforms, leveraging technologies such as Retrieval-Augmented Generation (RAG), vector databases, and modern agent frameworks. You will design and deploy scalable, production-grade systems using Python/Java, with a strong focus on reliability, performance, and security.

As a Staff Software Engineer, you will contribute to reusable foundational code, architectural diagrams, guide decisions around product and tool selection, and other product documentation. You'll serve as a core member of a balanced team, mentoring junior engineers and helping them expand both their technical expertise and leadership skills.

Key Responsibilities:

* 50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide;
Takes a broad view when approaching issues; using a global lens;
Consistently achieves results, even under tough circumstances;
Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production;
Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm;
Consistently achieves results, even under tough circumstances

* 10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels;
Learns through successful and failed experiments when tackling new problems

* 20% Plans and Aligns - Creates new and better ways for the organization to be successful;
Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences;
Works the Product Team to ensure user stories are developer ready, easy to understand and testable;
Collaborates with other team members in agile processes;
Relates openly and comfortably with diverse groups of people;
Adapts approach and demeanor in real time to match the shifting demands of different situations

* 20% Supports and Enables - Fields questions from product and engineering teams;
Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions;
Notes gaps on the team and provides suggestions for changes to make the team more productive

Direct Manager/Direct Reports:

* This position typically reports to Software Engineer Manager or Sr. Manager

* This position typically has 0 Direct Reports

Travel Requirements:

* No travel required.

Physical Requirements:

* Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

* Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

* Must be eighteen years of age or older.

* Must be legally permitted to work in the United States.

Preferred Qualifications:

* 5-8 years of relevant work experience

* Has a deep understanding of warehousing and logistics, and understands how their software impacts the performance and processes of operation teams

* Strong understanding of LLMs, multimodal models, and transformer architectures

* Experience with fine-tuning/adapting models (LoRA, RAG, prompt optimization, RLHF basics)

* Ability to design and implement agentic architectures (single- and multi-agent systems)

* Hands-on experience with agent frameworks (e.g., Lang Graph, Auto Gen, CrewAI, Semantic Kernel, Swarm)

* Skill in defining agent roles, capabilities, tools, and memory patterns

* Experience building autonomous workflows: task decomposition, planning, and self-correction loops

* Strong prompt engineering skills (system prompts, dynamic context building, tool-calling protocols)

* Knowledge of grounding strategies to reduce hallucinations and enforce business rules

* Proficiency in Python and common AI/ML libraries (PyTorch, Tensor Flow, OpenAI/Anthropic SDKs)

* Experience building and consuming APIs and microservices for agent tool use

* Familiarity with event-driven and asynchronous programming patterns

* Experience with RAG pipelines (embeddings, vector stores, retrieval optimization)

* Knowledge of data engineering fundamentals (ETL, data quality, schema design for knowledge bases)

* Deep experience with cloud platforms (Azure, AWS, GCP) for AI workloads, including:
Model hosting and inference optimization. Serverless and container-based architectures. Cost monitoring and scaling strategies

* Proficiency in cloud-native deployment architectures (Kubernetes, service meshes, managed inference endpoints)

* Experience deploying agentic systems within Git Hub Enterprise environments, including: CI/CD pipelines using Git Hub Actions

* Ability to…