Lead Python Engineer - AI Platforms

We are supporting a client in the search for a Lead Python Engineer to join a fast-paced engineering team building, operating, and scaling AI-enabled platforms. This is a hands-on software engineering role focused on production systems—not research or data science—with a strong emphasis on reliability, security, and operational excellence.

This opportunity suits an engineer who enjoys owning solutions end to end, working close to infrastructure, and delivering real-world, enterprise-grade systems.

Key Responsibilities

• Design, build, and maintain production-grade Python services that power AI-enabled automation platforms
• Lead and mentor engineers while contributing hands-on across the full development lifecycle
• Design secure, scalable, and highly available system architectures aligned with industry best practices
• Collaborate with globally distributed engineering, AI, and DevOps teams to deliver integrated solutions
• Monitor system health, performance, and reliability, proactively identifying and resolving issues
• Continuously evaluate new tools and technologies to enhance platform capabilities

Required Experience & Skills

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 7+ years of professional software engineering experience in enterprise environments
• 5+ years of hands-on Python development building backend services and APIs
• Proven experience leading or mentoring development teams
• Strong experience with AWS, cloud-native architectures, security, and operational best practices
• Experience integrating AI/ML services and frameworks into production applications
• Solid understanding of Agile development, CI/CD pipelines, automated testing, and code reviews
• Experience with containerization and orchestration (Docker, Kubernetes, or similar); exposure to platforms such as SageMaker is a plus
• Familiarity with AIOps, monitoring, observability, and performance optimization
• Strong troubleshooting skills and the ability to quickly learn new technologies

Compensation: $150,000-190,000 annually

Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.