Role overview
We are seeking an experienced and highly skilled GCP AI/ML & Integration Lead Engineer to design, build, and optimize enterprise-scale AI/ML solutions. As a GCP AI Engineer, you will drive enterprise AI innovation by developing Conversational AI and Generative AI solutions, integrating AI models into enterprise systems, and implementing MLOps best practices on Google Cloud Platform (GCP).
The ideal candidate will have hands-on expertise in Vertex AI, Dialogflow CX, and Firebase/Firestore, with strong programming skills in Python and a deep understanding of prompt engineering, model fine-tuning, and AI lifecycle management. This role combines hands-on technical execution with collaboration across data science, engineering, and business teams to deliver secure, scalable, and high-performing AI solutions.
*Key Responsibilities:
Conversational & Generative AI Development:** 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.
Prompt Engineering & Model Fine-Tuning: 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.
Integration & Application Enablement: Integrate AI models and APIs with Firebase, Firestore, Pub/Sub, Dataflow, and Cloud Run to power intelligent, real-time, data-driven applications.
MLOps & Automation: Implement MLOps best practices including CI/CD, model versioning, observability, governance, and security using Vertex AI Pipelines, Cloud Build, and Artifact Registry.
Model Lifecycle & Monitoring: Manage the complete model lifecycle — from development to deployment and monitoring — using Vertex AI, Vector Databases, RAG pipelines, and Vertex AI Model Monitoring.
Observability & Responsible AI: Monitor performance, detect drift, and ensure transparency and fairness using Cloud Logging, Cloud Monitoring, and responsible AI principles.
Technical Leadership & Collaboration: Work closely with AI/ML architects, data engineers, and stakeholders to deliver reliable, production-grade AI systems and provide technical guidance.
*Qualifications & Requirements:
Experience: 7+ years** in enterprise software, data engineering, or AI/ML engineering, with 1–2 years focused on GCP AI/ML and integration.
What we're looking for
- 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
Job Type: Full-time
Pay: $80,000.00 - $100,000.00 per year
Experience:
- Google Cloud Platform: 3 years (Required)
Ability to Relocate:
- Remote: Relocate before starting work (Required)
Work Location: Remote