Agentforce – Backend & AI/ML Engineer

Job Title: Agentforce – Backend & AI/ML Engineer

Location: Onsite – Alpharetta, Georgia (Onshore)

Job Type: Contract

 

Day to Day Job Duties:

• Develop AI/ML applications leveraging Google's Gemini API for natural language understanding and generation.

• Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform.

• Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures.

• Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices.

• Build and maintain AI/ML data pipelines using Databricks.

• Develop and maintain CI/CD pipelines using GitOps methodologies.

• Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps.

• Work with Google Cloud Platform data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.

• Develop event-driven integrations using Pub/Sub and Kafka.

• Implement Infrastructure as Code using Terraform.

• Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions.

• Follow Google Cloud Platform security, IAM, encryption, and cloud best practices throughout the development lifecycle.

 

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or a related field.

• 3–5 years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.

• Hands-on experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.

• Experience developing applications using Python.

• Working knowledge of Databricks for AI/ML and data processing workloads.

• Experience with REST API development and Google Cloud API Gateway.

• Experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.

• Experience implementing Infrastructure as Code using Terraform.

• Experience with Pub/Sub or Kafka.

• Understanding of Google Cloud Platform IAM, encryption, and cloud security best practices.

• Strong analytical, troubleshooting, and problem-solving skills.

• Good communication and collaboration skills.