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GCP AI Engineer jobs in United States
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CG-VAK Software & Exports Ltd. · 1 day ago

GCP AI Engineer

CG-VAK is seeking an experienced GCP AI/ML & Integration Lead Engineer to design, build, and optimize enterprise-scale AI/ML solutions. The role involves driving enterprise AI innovation through the development of Conversational AI and Generative AI solutions, integrating AI models into systems, and implementing MLOps best practices on Google Cloud Platform.
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H1B Sponsor Likelynote

Responsibilities

Design and implement end-to-end AI solutions leveraging Dialogflow CX, Vertex AI, and Vertex AI Agent Builder for conversational and generative AI use cases
Develop and optimize prompt strategies and fine-tune large language models (LLMs) using Vertex AI Model Garden and enterprise-specific datasets to improve accuracy and contextual relevance
Integrate AI models and APIs with Firebase, Firestore, Pub/Sub, Dataflow, and Cloud Run to power intelligent, real-time, data-driven applications
Implement MLOps best practices including CI/CD, model versioning, observability, governance, and security using Vertex AI Pipelines, Cloud Build, and Artifact Registry
Manage the complete model lifecycle — from development to deployment and monitoring — using Vertex AI, Vector Databases, RAG pipelines, and Vertex AI Model Monitoring
Monitor performance, detect drift, and ensure transparency and fairness using Cloud Logging, Cloud Monitoring, and responsible AI principles
Work closely with AI/ML architects, data engineers, and stakeholders to deliver reliable, production-grade AI systems and provide technical guidance

Qualification

GCP AI/ML expertiseVertex AIDialogflow CXPythonMLOps best practicesPrompt engineeringModel fine-tuningFirebase/FirestoreCloud MonitoringInnovative thinkingCommunication skillsTeam collaborationDetail-oriented

Required

7+ years in enterprise software, data engineering, or AI/ML engineering, with 1–2 years focused on GCP AI/ML and integration
Proficiency in Python (JavaScript a plus) for model development, API integration, and automation
Hands-on expertise with Vertex AI, Dialogflow CX, Vertex AI Search and Conversation, Vertex AI Model Garden, Vertex AI Agent Builder
Proven experience in prompt engineering, LLM fine-tuning, and RAG for enterprise applications
Skilled in Firebase/Firestore, BigQuery, Dataflow, Pub/Sub, Cloud Run
Experience with Vertex AI Pipelines, Cloud Build, Artifact Registry, and GKE/Kubernetes for scalable deployment automation
Proficient in Cloud Logging, Cloud Monitoring, Vertex AI Model Monitoring
Deep understanding of GCP's security model, IAM, and responsible AI frameworks
GCP Professional Machine Learning Engineer certification (preferred)
GCP Professional Cloud Architect certification (with commitment to pursue ML Engineer certification)
Google Cloud Platform: 3 years (Required)
Remote: Relocate before starting work (Required)

Preferred

Experience with LangChain, Vertex AI Extensions, or other LLM orchestration frameworks
Familiarity with Cloud Storage, Dataproc, or other distributed data processing tools
Understanding of API-first architecture and integration with Apigee/API Gateway
Self-driven and passionate about applied AI
Innovative thinker who embraces emerging technologies
Detail-oriented, proactive, and thrives in dynamic environments
Ability to work collaboratively in agile, cross-functional teams
Excellent communication and presentation abilities

Company

CG-VAK Software & Exports Ltd.

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CG-VAK Software is a leading offshore software development company with 30 years of industry experience, serving clients across the USA, UK, Canada, Europe, Australia, Singapore, and South Africa.

H1B Sponsorship

CG-VAK Software & Exports Ltd. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (1)
2023 (3)
2022 (1)
2021 (6)
2020 (9)

Funding

Current Stage
Late Stage
Company data provided by crunchbase