Machine Learning Engineer

Talentify; Pleasanton (CA); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Benefits

Referral Program

Growth opportunities

Job summary

Talentify is seeking a Machine Learning Engineer to design, build, and deploy agentic AI workflows in a production-ready environment. You will work with LLMs, LangChain, and cloud services to automate business processes across planning, forecasting, and operations.

Strong Python and API integration skills are essential, with hands-on experience in GCP and BigQuery. You will collaborate with stakeholders to solve real-world use cases, optimize token usage, and ensure scalable, cost-efficient AI

Qualifications

• Hands-on experience building AI agents and workflows.
• Experience with LLMs and Generative AI in production.
• Experience with cloud platforms (GCP preferred).
• Strong Python development and API integration.
• CI/CD and containerized deployment.

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
• 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

Skills

Python

LLMs

Agentic AI

LangChain

GCP BigQuery

Docker

CI/CD

APIs

Multi-cloud

Data Engineering

Education

Bachelor's degree in CS or related field

Tools

OpenAI API

Anthropic API

LangChain

Kubernetes

Job description

Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Machine Learning Engineer for their Remote location.

Responsibilities

• Client 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 Client's expanding AI initiative, where multiple AI agents are being developed and deployed to improve productivity, automate workflows, and drive better business outcomes.
• 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

Requirements

• 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.
• 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
• 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

Why Should You Apply?

• Health Benefits
• Referral Program

Excellent growth and advancement opportunities