Lead backend engineering for a centralized AI platform, designing scalable REST APIs and Python services for agent lifecycle management, deployment, monitoring, authentication, authorization, and asynchronous workflows. Develop data layers and database schemas, contribute to distributed architecture and SDK design, and ensure reliability through testing, CI/CD, and security practices. Mentor engineers, guide technical decisions, and work with modern agentic AI frameworks.
Overview
Responsibilities
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.
Responsibilities
- 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.
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