Senior AI Software Engineer - GCP (Work From Home)

quantrics enterprises inc.

Philippines, Manila

7-9 Years

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Posted 3 hours ago
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Job Description

Specific Duties And Responsibilities

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 systemsusing 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

COMPETENCIES

Core Competencies (Must-have Competencies)

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

Complementary Competencies (Good-to-have Competencies)

Experience with LangChain or other LLM orchestration frameworks
Knowledge of vector databases and semantic search
Experience with agentic AI frameworks, React patterns, or autonomous agent architectures
Familiarity with prompt engineering, fine-tuning, and LLM evaluation techniques
Knowledge of service mesh, API gateways, or event-driven architecture on GCP
Contributions to open-source AI/ML projects or technical communities
Experience with Cohere, Anthropic Claude, or Google Gemini
Knowledge of testing frameworks for ML systems (unit tests, model validation, A/B
testing)

Qualifications

Educational Qualification/s