Senior AI Software Engineer – GCP

🕒 March 31

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Quantrics Enterprises Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2016

🤝 B2B

🏢 Enterprise

B2B • Enterprise

Quantrics Enterprises Inc. is a provider of world-class customer solutions, combining exceptional customer care and IT services to help businesses grow at scale. The company emphasizes a people-first culture, community engagement, and career development, with multiple offices across the Greater Manila Area. Quantrics positions itself as a partner to businesses seeking outsourced customer support and technology-enabled service solutions.

📋 Description

• 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