Machine Learning Engineer

Role - AI Engineer - Agentic AI / Generative AI
Location: Pleasanton, CA (Remote - PST Required)
Duration: 6 Months(contract)
Client -leading retail company
Pay rate - $55- $60/hr. on w2(depends on experience)

Position Overview

• Client is seeking experienced AI Engineers to design, build, optimize, and scale next-generation AI agents and agentic workflows that support critical business functions, including planning, allocation, forecasting, pricing, and operational execution.
• This role is part of a growing AI initiative focused on developing and deploying AI-powered agents to automate workflows, improve productivity, enhance decision-making, and drive measurable business outcomes.
• The ideal candidate is a hands-on AI/Software Engineer with experience building and operationalizing Agentic AI solutions, Large Language Model (LLM) applications, and Generative AI workflows in production environments.
• This position is focused less on traditional machine learning model development and more on the engineering, integration, optimization, deployment, and operationalization of AI agents .
• Experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK) is highly desirable.
• Engineers will be assigned business use cases and will own the design, development, implementation, optimization, and continuous improvement of AI-driven solutions across multiple business domains.

Key Responsibilities

• Design, develop, and optimize AI agents and agentic workflows supporting enterprise business processes.
• Build scalable AI solutions that automate workflows, improve operational efficiency, and support business decision-making.
• Integrate LLMs, Generative AI services, AI SDKs, and APIs into production applications.
• Develop backend services, integrations, and AI-driven applications primarily using Python .
• Build and maintain agent orchestration workflows using frameworks such as LangChain, LangGraph, or Google ADK .
• Leverage GCP cloud services and BigQuery to support AI workloads and data-driven applications.
• Work with structured and unstructured data to enable AI-powered business solutions.
• Optimize AI agents for performance, reliability, token utilization, latency, and cost efficiency .
• Support the deployment, monitoring, troubleshooting, and continuous improvement of AI-powered applications.
• Partner with business stakeholders, product teams, and technical teams to understand business challenges and translate them into practical AI solutions.
• Develop maintainable, scalable, and production-ready AI applications across multiple business functions.
• Contribute to AI engineering best practices, automation, deployment processes, and operational excellence.

Required / Must-Have Qualifications

• Strong hands-on Python development experience.
• Proven experience building, deploying, or supporting AI Agents and Agentic AI workflows .
• Hands-on experience with LLMs and Generative AI technologies .
• Experience with AI SDKs/APIs such as OpenAI, Anthropic, or similar platforms .
• Strong experience integrating REST APIs and/or other external services into AI-driven applications.
• Experience with Google Cloud Platform (GCP) and cloud-native services.
• Hands-on experience with BigQuery or similar cloud data platforms.
• Experience working with unstructured data .
• Understanding of AI agent optimization, deployment, monitoring, and production operations .
• Strong software engineering fundamentals, including application design, debugging, testing, and maintainability.

Preferred Qualifications

• Degree or professional background in AI Engineering, Software Engineering, Machine Learning Engineering, Data Engineering, or a related field .
• Experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK) .
• Experience deploying containerized applications using Docker .
• Exposure to CI/CD pipelines, DevOps practices, and deployment automation .
• Experience working in multi-cloud environments , with GCP preferred and Azure exposure a plus.
• Experience with SQL and/or R .
• Experience in retail, supply chain, merchandising, planning, forecasting, pricing, or allocation is a strong plus.

#RTA
#LI-WA1

For workers in the United States, PrideGlobal and it's affiliates offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity
PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment
PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations
We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates : Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.