Python Developer - Dallas, TX

Photon Career Site-posted 3 months ago
5,001-10,000 employees
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We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.

  • Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.
  • Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.
  • Implement best practices in software engineering: OOP, design patterns, modular architecture.
  • Develop APIs and SDKs for framework adoption across teams.
  • Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).
  • Ensure security, reliability, and observability of framework components.
  • Write unit/integration tests and maintain CI/CD pipelines.
  • Document frameworks, APIs, and libraries for developer adoption.
  • Participate in code reviews, mentor junior developers, and contribute to technical design discussions.
  • Strong proficiency in Python (3.x), with focus on OOP and modular design.
  • Proven experience in building frameworks, libraries, or SDKs (not just applications).
  • Expertise in design patterns, dependency injection, and plugin-based architectures.
  • Experience with FastAPI, Flask, Django or similar web frameworks.
  • Solid understanding of APIs (REST, GraphQL) and API gateway integration.
  • Knowledge of async programming (asyncio, aiohttp).
  • Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.
  • Strong grasp of security practices (OAuth2, JWT, IAM integration).
  • Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.
  • Experience with Agentic AI frameworks (LangChain, LlamaIndex, Google ADK, AutoGen).
  • Knowledge of LLM fine-tuning, prompt engineering, and guardrails.
  • Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).
  • Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).
  • Contributions to open-source Python frameworks or libraries.
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