5 engineer agentic ai systems jobs at 2 companies in Belton, TX
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Senior Principal AI Agent / ML Engineer (OCI)
Seattle or Nashville or Santa Clara or Austin or United States
OnsiteFull Time
12+ YOESenior technical leader with 12+ years building and operating high-scale distributed systems and AI/ML platforms; strong Python, Kubernetes, Docker, LLM orchestration, and AI safety experience; BS/MS/PhD or equivalent.
Oracle Cloud Infrastructure (OCI), Python, Kubernetes, Docker, LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, Model Context Protocol (MCP), Codex, Claude Code, Cursor, Copilot
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Director, Core Infrastructure Engineering - AI Powered Digital Twin Platform
Nashville or Austin or Seattle or Santa Clara
$170k-$355k/yr OnsiteFull Time
12+ YOE5+ Mgmt12+ years software engineering experience,5+ years leading engineering teams,expertise in distributed cloud platforms,distributed systems,data platforms,APIs,AI agents,RAG,and strong cross-functional leadership.
LangGraph, LangChain, LlamaIndex, Semantic Kernel, OCI Generative AI Agents, OCI, Oracle Database, Kubernetes
1mo
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Principal Core Infrastructure Engineer - AI-Powered Digital Twin Platform
Nashville or Austin
$115k-$235k/yr OnsiteFull Time
8+ YOE8+ years building large-scale distributed systems; strong skills in Java, Python, Go, or C++; experience with cloud architecture, generative AI/agents, RAG, and multi-tenant services.
Java, Python, Go, C++, LangGraph, LangChain, LlamaIndex, Semantic Kernel, OCI Generative AI Agents, OCI, Oracle Database, Kubernetes
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Senior Platform Software Engineer
Nashville or Austin or United States
$93k-$210k/yr OnsiteFull Time
4+ YOEBS/MS in CS or relevant field (or equivalent experience), 4+ years software development, proficiency in Java/GoLang/C#, experience with Agentic AI, large-scale distributed systems, operational production experience.
Java, GoLang, C#, Agentic AI
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Lead Software Engineer - ML Engineer for Agent Platform
Jersey City or Tampa or Plano or Austin
$152k-$215k/yr OnsiteFull Time
5+ YOE5+ years software engineering experience; strong Python; production Kubernetes and cloud-native experience; experience building LLM/agent systems, secure execution, and CI/CD; knowledge of responsible AI and SDLC practices.
Python, Kubernetes, Terraform, Docker, Firecracker, Kata, gVisor