Remote AI Agent Engineer — Production-Ready Automation

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

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