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

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

Vertex AI, or knowledge graphs. Background in internal developer platforms or analytics infrastructure. Experience deploying and maintaining AI-powered applications in production. Note : Looking for someone who can join immediately or within 30 days. For more details you can visit company website: www.www.infometry.net About Us: Infometry is a global data analytics products and solutions company enabling enterprises to harness AI for smarter, faster, and more reliable decision-making. With 16+ years of industry expertise and 350+ successful projects across 100+ global clients, Infometry helps organizations move from data complexity to AI-driven clarity. Our product-led portfolio is built on AI and Agentic AI innovations that embed intelligence directly into enterprise data workflows. Leading this is INFOFISCUS Conversa, our enterprise-grade, no-code decision intelligence analytics that empowers business users to securely interact with governed data using natural language-bridging modern LLMs with trusted enterprise data foundations. Complementing Conversa, Infometry offers Snowflake Native Apps, 22+ pre-built cloud connectors, and no-code accelerators for Metadata Discovery and Test Automation, enabling rapid insights with reduced operational overhead. As a trusted partner to platforms including Snowflake, Databricks, Informatica, AWS, GCP, Tableau, and Power BI, Infometry enables enterprises to operationalize AI, simplify analytics, and lead confidently in a data-driven world. To apply for this job email your details to Sreeja.Reddy@infometry.net