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GCP Agentic AI Developer

Aptino, Inc. · Nashville, TN, USA · no salary listed · via jobspy:zip_recruiter
70
Open listing

Fit analysis

The candidate is an exceptionally strong full-stack and infrastructure engineer with deep experience in complex data pipelines and B2B systems. However, the resume lacks specific hands-on evidence of Generative AI development, GCP/Vertex AI usage, or modern MLOps practices required for this specialized role.

Where you fit

  • Full-Stack Architecture: Proven ability to architect and deploy high-performance full-stack applications using Next.js, React, Node.js, and Rust across multiple roles (Brooking Technologies, SCP Corp LLC).
  • Complex Data Integration: Expertise in integrating disparate systems using GraphQL (Hasura), PostgreSQL, and live blockchain nodes, demonstrating mastery of complex data flows.
  • Industrial IoT/Telemetry: Engineered and maintained operational protocols for large-scale physical assets (1,800+ Antminer fleet) by establishing critical telemetry monitoring pipelines in Rust/JavaScript.
  • B2B E-commerce Optimization: Successfully architected headless B2B storefronts using Next.js/Shopify, achieving measurable improvements like a 30% increase in quote accuracy.
  • Infrastructure Management: Designed and implemented scalable power and network infrastructure for zero-disruption equipment rollouts, showing strong operational rigor.
  • Data Bridging & ETL: Engineered synchronous data bridges (JavaScript/Node.js) to migrate complex datasets (orders, customers, products) between legacy systems and modern platforms.

Where you may struggle

  • Generative AI Development: There is no mention of experience developing or deploying Generative AI solutions, LLMs, Gemini, or Agentic AI agents.
  • Cloud Platform Specificity: The job requires hands-on GCP/Vertex AI experience; the resume only mentions general cloud hosting and lacks specific proficiency with Google Cloud services.
  • AI Architecture Concepts: Missing direct experience implementing core AI concepts like RAG (Retrieval Augmented Generation), vector databases, or grounding strategies.
  • MLOps & DevOps Practices: The role requires implementing CI/CD pipelines and MLOps best practices. While the candidate shows deployment skills, dedicated MLOps tooling and pipeline management are not demonstrated.
  • Containerization/Orchestration: Required knowledge of building scalable cloud-native applications using Docker and Kubernetes is not listed or evidenced in the experience section.

Cover letter

Job description
Role Summary: Design, develop, and deploy enterprise-grade Agentic AI solutions using Google Cloud Platform (GCP), Vertex AI, and Gemini. Key Responsibilities: Develop AI agents, multi-agent systems, and RAG pipelines. Implement embeddings, vector search, and grounding strategies. Integrate LLMs with enterprise systems using APIs and MCP. Build scalable cloud-native AI applications using Docker and Kubernetes. Implement CI/CD pipelines and MLOps best practices. Required Skills: Hands-on experience with GCP, Vertex AI, and Gemini. Strong Python programming and Agentic AI development skills. Experience with RAG, vector databases, and LLM frameworks. Knowledge of MCP, APIs, microservices, and cloud-native architectures. Strong problem-solving and communication skills. Experience: 8+ years in software engineering, with proven experience delivering Generative AI solutions.

Questions from the bot

Do you have hands-on experience with Google Cloud Platform (GCP), specifically utilizing Vertex AI for model deployment or management?
Have you built a Retrieval Augmented Generation (RAG) pipeline? If so, what was your role in selecting the vector database and implementing the grounding strategy?
Can you describe your process for setting up an MLOps CI/CD pipeline to deploy a machine learning model into production using Docker or Kubernetes?

Timeline

2026-10-18 08:40:06
scored 70: The candidate is an exceptionally strong full-stack and infrastructure engineer with deep experience in complex data pipelines and B2B systems. However, the resume lacks specific hands-on evidence of Generative AI development, GCP/Vertex AI usage, or modern MLOps practices required for this specialized role.
2026-10-18 08:39:09
found Found via jobspy:zip_recruiter