We are seeking a Lead Software Engineer to design and deliver the core backend services for our centralized AI platform. This role bridges hands-on engineering and technical leadership — owning major components of the backend while guiding mid-level engineers. You’ll work closely with senior ICs and cross-functional teams to build scalable, secure, and reliable services that power our agentic framework, enabling teams across the company to deploy and manage AI agents seamlessly.

• Design and implement scalable RESTful API endpoints for the AI platform.
• Build and optimize backend services in Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring.
• Contribute to secure authentication and authorization systems supporting multi-tenant architecture.
• Develop efficient data access layers and database schemas for AI agent operations.
• Implement asynchronous task processing for long-running AI workflows.
• Collaborate with IC5 engineers on backend architecture and SDK designs, contributing to technical direction while driving execution.
• Provide mentorship to IC3 engineers through code reviews, technical discussions, and best practices.
• Ensure quality and reliability through automated testing, CI/CD pipelines, and adherence to security standards.
• Stay updated on modern backend and AI/agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph).

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of backend development experience, with significant experience building scalable Python applications and APIs.
• Proficiency with modern Python frameworks (FastAPI, Django REST Framework, Flask).
• Solid experience with relational databases (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM).
• Hands-on familiarity with distributed systems or microservices.
• Working knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with Git, CI/CD workflows, and automated testing.
• Exposure to agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or strong interest in learning.
• Cloud experience (AWS, GCP, or Azure) preferred.
• Demonstrated ability to mentor junior engineers and influence technical decisions.