Lead Software Engineer
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Role details
Tech stack
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Job description
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Design and implement scalable RESTful API endpoints for the AI platform.
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Build and optimize backend services in Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring.
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Contribute to secure authentication and authorization systems supporting multi-tenant architecture.
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Develop efficient data access layers and database schemas for AI agent operations.
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Implement asynchronous task processing for long-running AI workflows.
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Collaborate with IC5 engineers on backend architecture and SDK designs, contributing to technical direction while driving execution.
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Provide mentorship to IC3 engineers through code reviews, technical discussions, and best practices.
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Ensure quality and reliability through automated testing, CI/CD pipelines, and adherence to security standards.
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Stay updated on modern backend and AI/agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph).
Requirements
Relevant experience and educational requirements:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
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6+ years of backend development experience, with significant experience building scalable Python applications and APIs.
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Proficiency with modern Python frameworks (FastAPI, Django REST Framework, Flask).
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Solid experience with relational databases (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM).
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Hands-on familiarity with distributed systems or microservices.
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Working knowledge of containerization and orchestration (Docker, Kubernetes).
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Experience with Git, CI/CD workflows, and automated testing.
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Exposure to agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or strong interest in learning.
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Cloud experience (AWS, GCP, or Azure) preferred.
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Demonstrated ability to mentor junior engineers and influence technical decisions.
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