Job Title: AI Engineer Lead / Backend Engineering Lead
Location: Remote
Job Summary
We are seeking a highly skilled AI Engineer Lead / Backend Engineering Lead to design, develop, and optimize scalable backend systems, APIs, automation workflows, and AI-assisted development solutions. The ideal candidate will have strong expertise in Python and/or Node.js along with experience leveraging AI-powered coding tools to accelerate development while maintaining enterprise engineering standards.
This role requires deep technical expertise in backend engineering, API integrations, cloud-native development, DevOps practices, and AI-assisted software delivery. The candidate will collaborate with architects, product owners, and cross-functional teams to build production-ready enterprise applications and automation platforms.
Key Responsibilities
Backend Development & Engineering
• Design and build scalable backend services, APIs, automation workflows, and reusable software components using Python and/or Node.js.
• Develop enterprise-grade integrations across applications, databases, APIs, and cloud platforms.
• Build secure, high-performance, and maintainable microservices architectures.
• Support rapid prototyping and experimentation while ensuring solutions mature into production-ready systems.
AI-Assisted Development
• Utilize AI-assisted coding tools such as Windsurf, GitHub Copilot, or similar platforms to improve engineering productivity.
• Review, validate, debug, refactor, and optimize AI-generated code for:
o Performance
o Security
o Scalability
o Maintainability
o Code quality
• Implement best practices for AI-assisted software development workflows.
Troubleshooting & Optimization
• Troubleshoot issues across:
o Application logic
o APIs
o Apigee platforms
o Databases
o Enterprise integrations
o Deployment pipelines
o Production environments
• Identify root causes and implement long-term scalable fixes.
• Improve system reliability, observability, and operational efficiency.
DevOps & Engineering Standards
• Follow established coding standards, DevOps practices, documentation guidelines, and enterprise engineering frameworks.
• Participate in CI/CD pipeline implementation and deployment support activities.
• Assist with testing, integration validation, deployment support, issue resolution, and post-production improvements.
Collaboration & Agile Delivery
• Collaborate closely with technical leads, architects, product owners, business stakeholders, and engineering teams.
• Participate in Agile ceremonies including sprint planning, backlog grooming, stand-ups, retrospectives, and release planning.
• Contribute to technical design discussions and architectural decisions.
Required Skills & Qualifications
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 8+ years of experience in backend engineering or software development.
• Strong hands-on experience with:
o Python and/or Node.js
o REST APIs
o Backend services development
o Microservices architecture
• Experience with AI-assisted coding tools such as:
o GitHub Copilot
o Windsurf
o Similar AI developer productivity platforms
• Strong debugging, code review, and optimization skills.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of DevOps processes, CI/CD pipelines, and deployment automation.
• Experience with API management and integrations (Apigee preferred).
• Strong understanding of databases, enterprise integrations, and scalable architectures.
• Familiarity with Agile/Scrum methodologies.
Preferred Qualifications
• Experience building AI/ML-enabled applications.
• Exposure to enterprise-scale distributed systems.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with automation platforms and workflow orchestration tools.
• Familiarity with enterprise security and compliance standards.
Technical Skills
• Python
• Node.js
• REST APIs
• Microservices
• Apigee
• SQL/NoSQL Databases
• CI/CD Pipelines
• GitHub Copilot / Windsurf
• Docker & Kubernetes
• AWS / Azure / GCP
• DevOps
• Automation Workflows
• Enterprise Integrations
Soft Skills
• Strong problem-solving abilities
• Excellent communication skills
• Cross-functional collaboration
• Leadership and mentoring mindset
• Ability to work in fast-paced Agile environments
• Strong ownership and accountability mindset
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