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# AI & Agent Systems Engineer (Generative AI + Data Engineering)

- **Company:** Infometry, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, BigQuery, Cloud Computing Security, Databases, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Applications, Distributed Systems, Python (Programming Language), Systems Development Life Cycle, OpenAI, Software Deployment, Software Engineering, SQL Databases, Systems Integration, Data Processing, Scripting, Google Cloud, Sql Optimization, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Google Bigquery, Machine Learning Operations, Virtual Agents, Google Gemini, Data Pipelines, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-agent-systems-engineer-generative-ai-data-engineering--302a8350-2610-4612-9637-352c35f86b95

## About the Role

Systems Engineering, Artificial Intelligence (AI), Artificial Intelligence (AI), Application Programming Interface (API), Artificial Intelligence (AI) Agents, Database Extract Transform and Load (ETL), Systems Engineering, Python Programming/Scripting Language, Scalable System Development, GCP (Good Clinical Practices), Full Time Remote Posted on October 30, 2026 Website Infometryinc Infometry INC Enabling AI for Every Enterprise Role: AI & Agent Systems Engineer (Generative AI + Data Engineering) Location: Remote Experience: 8-15 Years Shift: PST Time Job Summary: We are looking for a skilled AI & Agent Systems Engineer with strong software engineering and data engineering expertise to design, develop, and deploy intelligent AI agents and scalable data-driven applications using LLMs, Python, and Google Cloud Platform (GCP). Key Responsibilities Design and develop AI agent systems using LLMs, tool calling, and multi-agent orchestration. Build LLM-powered applications using platforms such as OpenAI, Gemini, or Anthropic. Develop Retrieval-Augmented Generation (RAG) solutions, agent memory systems, and prompt engineering workflows. Build and optimize ETL/ELT pipelines and semantic models using SQL and BigQuery. Develop scalable applications and integrations using Python, APIs, Docker, and distributed
systems. Leverage GCP services for data processing, AI/ML workloads, and application deployment. Implement cloud security, monitoring, observability, and operational best practices. Required Skills Strong understanding of LLMs, Agentic AI, multi-agent orchestration, and tool-calling concepts. Hands-on experience with at least one LLM platform, such as OpenAI, Gemini, or Anthropic. Exposure to modern AI agent frameworks. Familiarity with RAG architectures, agent memory systems, and prompt engineering. Strong Python programming skills and software engineering fundamentals. Advanced SQL and Google BigQuery expertise. Experience building ETL/ELT pipelines and designing semantic models. Knowledge of modern cloud data warehouse architectures. Experience with APIs, distributed systems, and Docker. Working knowledge of GCP services across compute, storage, data, and AI/ML. Understanding of cloud security best practices, monitoring, and observability. Good to Have Experience with vector databases