- Location
- Remote, IN
- Workplace
- Remote
- Department
- Engineering
- Seniority
- Lead
- Closing date
- Today
- Source
- iCIMS
Description
Overview
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).
Qualifications
- 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.
Skills
PythonDjangoFlaskFastAPIAWSAzureGCPDockerKubernetesCI/CDPostgreSQLMySQLGitRESTMicroservices
