Principal Software Engineer

Overview

Responsibilities

• Design and implement scalable RESTful APIs endpoints for the AI platform
• Design and develop Python/Java SDKs that provide intuitive interfaces for teams to interact with the AI platform
• Build robust backend services using Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring
• Develop secure authentication and authorization systems supporting multi-tenant architecture
• Understand how agentic solution works and create efficient data access layers and database schemas that enable AI agents to interact with various internal data sources
• Implement asynchronous task processing systems for handling long-running AI agent operations
• Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap.
• Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle.
• Provide technical guidance on backend architecture, Python development, and SDK design best practices
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of backend development experience with 5+ years building scalable Python applications and APIs
• Experience in building large-scale distributed systems and microservices.
• Strong programming skills in Python; proficiency in Java a plus.
• Expert-level proficiency in Python and modern frameworks (FastAPI, Django REST Framework, Flask)
• Strong experience with database technologies (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM)
• Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Proven experience developing and maintaining SDKs or client libraries for internal or external usage
• Strong experience with version control (Git), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), and automated testing
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Cloud platform experience (AWS, GCP, or Azure).