Artificial Intelligence Senior Specialist (GCP + GenAI + LLM)

Job Description

Senior AI & Data Engineer to bridge scalable data architecture and Generative AI. Views data as a product; proven track record building production-grade AI-powered applications and agentic workflows. Responsible for architecting systems that power the data ecosystem, integrating LLMs, RAG solutions, and autonomous agents into enterprise-scale platforms on GCP. 6–8 total years required; 2–4 years hands-on LLM/AI required.

Requirements

• • 6–8 years in Software or Data Engineering with strong emphasis on Python-based application development (required)
• • 2–4 years hands-on experience building with LLMs, GPT-based APIs, or Vector Databases; Fine Tuning LLMs (required)
• • Extensive experience with GCP (preferred): BigQuery, Vertex AI, Cloud Run, Postgres (required)
• • Expert proficiency in Python, SQL, and Terraform (required)
• • Experience with MCP (Model Context Protocol), RAG, LangChain, Google Agent Development Kit (ADK) (required)
• • REST API development using Flask/Flask API (required)
• • Proven ability to design OLTP and OLAP patterns
• • Bachelor's degree required; NO H1B; W2 only

Responsibilities

• • Architect and deploy agentic AI workflows and RAG solutions; build systems capable of multi-step reasoning and tool-use
• • Design and implement high-performance analytical data products using streaming (Pub/Sub, Dataflow) and batch patterns, ensuring data is AI-ready
• • Own and scale cloud infrastructure using Terraform; prioritize security, cost-optimization, and automated environment provisioning
• • Build robust LLMOps pipelines monitoring AI model performance, latency, and drift in production
• • Operate within Agile environment using Test-Driven Development (TDD); maintain code quality standards via SonarQube, Checkmarx, and Cycode integrated with CI/CD and GitHub Actions
• • Implement enterprise-grade data protection and sharing models; map complex data lineages
• • Provide Tier 3 support for production AI services

Technologies & Skills