Python Developer with Agentic AI || Only USC,GC,H4,TN are eligible to apply for this role only

Position Overview

We are building next-generation intelligent systems powered by AI and automation. As a Python Developer, 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. This Full Time position is based in Dallas, TX, US with competitive compensation of 120K to 130K. The work mode is 100% Onsite with Virtual interviews.

Key Responsibilities

• 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 including OOP, design patterns, and 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.