AI Engineer- Dallas, TX jobs in United States
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Oracle · 17 hours ago

AI Engineer- Dallas, TX

position4835 Lyndon B Johnson fwy, Suite 540 Dallas, TX 75244, Dallas, Texas, US
timeFull-time
remoteOnsite
seniorityMid, Senior Level
money$47K/yr - $166K/yr

Oracle is seeking a highly skilled AI Engineer proficient in Python to lead the technical development of their Agentic AI platform. In this role, you will design the architecture for sophisticated autonomous systems and build complex workflows, integrating various tools and optimizing performance.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
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H1B Sponsor Likelynote

Responsibilities

Build and maintain complex agentic workflows using frameworks like LangGraph, CrewAI, or AutoGen
Develop Python-based tools and "plugins" that agents can invoke to perform real-world actions (e.g., querying SQL databases, interacting with APIs, or executing code)
Architect and optimize Retrieval-Augmented Generation (RAG) systems using vector databases to provide agents with long-term memory and domain-specific knowledge
Implement and fine-tune reasoning patterns such as React (Reason + Act), Chain-of-Thought, and Plan-and-Solve to improve agent reliability
Build automated testing frameworks to measure agent performance, accuracy, and "drift" using tools like LangSmith or custom evaluation harnesses
Optimize for latency and cost by managing token usage, implementing intelligent caching, and selecting the right model for the right task

Qualification

PythonAI FrameworksLLM ExpertiseData InfrastructureEngineering Best PracticesMulti-agent systemsOpen-source contributionsFine-tuning techniques

Required

Proficient in Python to lead the technical development of the Agentic AI platform
Ability to build sophisticated autonomous systems beyond simple prompt engineering
Design architecture that allows agents to plan multi-step tasks, access external databases via RAG, and interact with third-party software through function calling
Build and maintain complex agentic workflows using frameworks like LangGraph, CrewAI, or AutoGen
Develop Python-based tools and 'plugins' that agents can invoke to perform real-world actions
Architect and optimize Retrieval-Augmented Generation (RAG) systems using vector databases
Implement and fine-tune reasoning patterns such as React (Reason + Act), Chain-of-Thought, and Plan-and-Solve
Build automated testing frameworks to measure agent performance, accuracy, and 'drift'
Optimize for latency and cost by managing token usage, implementing intelligent caching, and selecting the right model for the right task
Deep experience in asynchronous Python, Pydantic for data validation, and FastAPI for building robust service layers
Hands-on experience with LangChain, LlamaIndex, or specialized orchestration libraries
Deep understanding of LLM capabilities (OpenAI, Anthropic, Gemini) and local model deployment (Ollama, vLLM)
Proficiency with vector databases (e.g., Pinecone, Weaviate, Milvus, or Chroma) and traditional relational databases (PostgreSQL)
Experience with CI/CD, Docker, and monitoring tools to ensure AI agents are production-ready

Preferred

Experience with multi-agent systems where different agents have specialized roles and hand-off protocols
Contributions to open-source AI projects or a strong portfolio of Agentic AI experiments on GitHub
Knowledge of fine-tuning techniques (LoRA, QLoRA) for specific domain tasks

Benefits

Medical, vision, and dental benefits
401k retirement plan
Variable pay/incentives
Paid time off
Paid holidays

Company

Oracle

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Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
dateFounded in 1977
location
Austin, Texas, USA
people-size10001+ employees
web-link
https://www.oracle.com/

H1B Sponsorship

Oracle has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)

Funding

Current Stage
Public Company
Total Funding
$25.75B
Key Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO

Leadership Team

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Esteban Rubens
Healthcare Field CTO
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Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
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