Quantrics Enterprises Inc.

Senior AI Software Engineer – GCP

Quantrics Enterprises Inc.

full-time

Posted on:

Location Type: Remote

Location: Philippines

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Job Level

Senior

Tech Stack

AirflowApacheBigQueryCloudDockerFlaskGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

  • Design, build, and deploy AI/ML solutions using GCP Vertex AI, BigQuery ML, and AI Platform for model training, deployment, and serving
  • Develop and maintain platform services for AI agent orchestration, RAG pipelines, and LLM integration using Python, FastAPI, and Flask
  • Collaborate with cross-functional teams to support CI/CD pipelines for ML models, GitLab workflows, and MLOps automation
  • Work with GCP services including Cloud Functions, Cloud Run, Dataflow, and Pub/Sub to build event-driven AI architectures
  • Build and optimize data pipelines using BigQuery, Dataflow, and Apache Airflow for AI model training and inference
  • Contribute to automation, observability, and reliability initiatives for AI systems using GCP Cloud Operations and New Relic
  • Lead and mentor team members in AI/ML engineering best practices, fostering a culture of learning and innovation
  • Explore and integrate cutting-edge AI capabilities (LLMs, vector databases, prompt engineering) into platform solutions
  • Develop customized AI solutions and integrations to meet development teams' requirements, leveraging GCP APIs, SDKs, and LangChain
  • Create technical documentation, tutorials, and training materials to support AI/ML adoption and facilitate knowledge transfer
  • Stay up to date on latest AI/ML technologies, GCP products, and industry trends, serving as a subject matter expert for the organization
  • Analyze existing AI workflows and processes to identify areas for optimization and efficiency gains
  • Implement scalable AI systems and tools to automate repetitive tasks, streamline ML operations, and enhance developer productivity

Requirements

  • 7+ years of experience in Software Engineering
  • 3+ years of experience focusing on AI/ML engineering, specializing in scalable AI infrastructure and model deployment
  • 3+ years of experience in Python for AI/ML development (TensorFlow, PyTorch)
  • 2+ years of experience with GCP AI/ML services (Vertex AI, BigQuery ML, AI Platform, AutoML)
  • 1+ years of experience building and deploying production AI systems including LLM integration, RAG architectures, and vector databases
  • 5+ years of experience with Git, Docker, and Kubernetes for containerized ML workloads
  • 1+ years of experience in problem-solving skills and a proactive attitude toward learning new AI technologies
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonAI/ML engineeringGCP Vertex AIBigQuery MLAI PlatformTensorFlowPyTorchApache AirflowMLOpsCI/CD
Soft Skills
problem-solvingproactive attitudementoringcollaborationcommunicationleadershipinnovationlearningdocumentationknowledge transfer