Oracle · 22 hours ago
Backend Lead - Python - Dallas, TX
4835 Lyndon B Johnson fwy, Suite 540 Dallas, TX 75244, Dallas, Texas, US
Full-time
Onsite
Senior Level, Lead/Staff
$46K/yr - $162K/yr
10+ years expOracle is seeking a Backend Lead to architect and build the infrastructure for their Agentic AI products. The role involves leading the development of multi-agent systems, designing scalable APIs, and ensuring secure interactions for AI agents.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Lead the design of multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen, ensuring agents can transition between states (Planning, Execution, Review) reliably
Architect high-performance, asynchronous APIs (primarily using FastAPI) to handle long-polling or streaming connections for AI-generated content
Build a secure "sandbox" environment that allows AI agents to execute code, query databases, and interact with third-party APIs safely and efficiently
Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions
Implement specialized monitoring and logging (using tools like LangSmith, Arize Phoenix, or OpenTelemetry) to trace agent decision-making and debug "looping" behaviors
Design backend-level guardrails to prevent prompt injection and ensure that autonomous agents operate within strictly defined permission boundaries
Set the standard for Python coding excellence, conduct deep architectural reviews, and mentor engineers on the nuances of AI-integrated backend development
Qualification
Required
Python Mastery: 10+ years of professional backend experience, with expert-level knowledge of Asynchronous Programming (Asyncio), Pydantic (v2), and Pytest
AI Frameworks: Hands-on experience building production-grade applications with LangChain or similar orchestration libraries
Concurrency & Task Management: Deep experience with message brokers and task queues (e.g., Redis, RabbitMQ, or Celery) to manage long-running agentic tasks
Database Expertise: Proficiency in PostgreSQL (relational) and at least one Vector Database. Experience in optimizing complex queries for AI retrieval
Cloud Infrastructure: Strong knowledge of Docker, Kubernetes, and serverless architectures within AWS, Azure, or GCP
Design Patterns: Mastery of microservices architecture, event-driven design, and API versioning
Agent Architecture & Orchestration: Lead the design of multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen, ensuring agents can transition between states (Planning, Execution, Review) reliably
Scalable API Development: Architect high-performance, asynchronous APIs (primarily using FastAPI) to handle long-polling or streaming connections for AI-generated content
Tooling & Function Calling Infrastructure: Build a secure 'sandbox' environment that allows AI agents to execute code, query databases, and interact with third-party APIs safely and efficiently
RAG & Memory Management: Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design 'memory' systems that allow agents to retain context across sessions
Observability & Tracing: Implement specialized monitoring and logging (using tools like LangSmith, Arize Phoenix, or OpenTelemetry) to trace agent decision-making and debug 'looping' behaviors
Security & Guardrails: Design backend-level guardrails to prevent prompt injection and ensure that autonomous agents operate within strictly defined permission boundaries
Leadership & Mentoring: Set the standard for Python coding excellence, conduct deep architectural reviews, and mentor engineers on the nuances of AI-integrated backend development
Preferred
Experience with LLM fine-tuning or local model deployment (vLLM, Ollama)
Knowledge of Distributed Systems and handling the 'cold start' or latency issues associated with large-scale AI models
Background in Cybersecurity, specifically regarding autonomous systems and API security
Benefits
Medical, vision, and dental benefits
401k retirement plan
Variable pay/incentives
Paid time off
Paid holidays
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
10001+ employees
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
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Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
Esteban Rubens
Healthcare Field CTO
G
Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
Recent News
2026-01-09
2026-01-07
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