12279-1- Remote - support PST not avail for ref
- Salary
- $62/hrUSD per hour
- Hiring from
- United States
- Work type
- Remote
- Posted
- Sep 24, 2026
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Job Description
Remote - support PST
Max Pay $62/ hr
Python, LLM and Generative AI, AI Agents and Agentic workflows
AI Adk's ( Open AI, Anthropic or similar) , GCP, Big Query, cloud native,
retail or supply chain, CI/CD, SQL, R, Docker, LangChain, Lang Graph
Request ID: 12279-1
Start/End Dates: 9/14/2026 - 3/13/2027
Gap’s Work Location: 4440 Rosewood Drive
Job Title: GTS - US Entity - Machine Learning Engineer
Job Description: Hiring needs have changed, and we will be moving forward with the hiring process in phases based on the hiring manager's availability. As a result, the number of openings on this requisition is being reduced from four (4) positions to two (2) positions. We are also updating the job title accordingly. Please focus on submitting the strongest available candidates currently in the market for these two openings.
Location: REMOTE – PST Alignment required
Duration: 6 months
Overview:
Gap Inc. is seeking an experienced AI Engineers to help build, optimize, and scale next-generation AI agents that support business functions across planning, allocation, forecasting, pricing, and operational execution. This role sits at the forefront of Gap's expanding AI initiative, where multiple AI agents are being developed and deployed to improve productivity, automate workflows, and drive better business outcomes.
The ideal candidate will have hands-on experience building and supporting Agentic AI solutions, integrating Large Language Models (LLMs), and developing scalable AI workflows in cloud environments. This position is less focused on traditional machine learning model development and more focused on the practical implementation, optimization, and operationalization of AI agents in production environments
Hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK).
Engineer will be assigned business use cases and will own the design, implementation, and continuous improvement of AI-driven solutions that enhance decision-making and workflow efficiency across multiple business domains.
Top Must-Have Skills:
Strong Python development experience
Experience building or supporting AI Agents and Agentic Workflows
Experience working with LLMs and Generative AI technologies
Exposure to AI SDKs such as OpenAI, Anthropic, or similar platforms
Experience integrating APIs into AI-driven solutions
GCP cloud experience, including BigQuery and cloud-native services
Experience working with unstructured data
Understanding of AI agent optimization, deployment, and operational performance,
Preferred Qualifications:
Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data Engineering
Experience deploying containerized applications using Docker
Exposure to CI/CD processes and automation pipelines
Experience working in multi-cloud environments (GCP preferred, Azure exposure helpful)
Retail, supply chain, planning, forecasting, or allocation experience is a plus
SQL and/or R experience
Responsibilities:
Design, develop, and optimize AI agents that support enterprise business workflows
Build and maintain agentic workflows that drive automation, execution, and business insights
Integrate LLMs and AI services into production environments
Utilize APIs and AI SDKs to enhance and extend AI agent capabilities
Develop backend services and integrations using Python
Support AI workloads leveraging GCP technologies and BigQuery
Optimize AI agent performance, token utilization, and cost efficiency
Partner with business stakeholders to understand and solve real-world use cases
Build scalable and maintainable AI solutions that improve decision-making across multiple business domains
Support deployment, monitoring, and operational excellence of AI-powered systems
Release Comments:
Please use the below link to begin submitting Candidates.