AI-Native Python Full Stack Engineering

LED FastStart • New Orleans, LA

7d

About The Position

We are looking for a hands-on engineering leader to transform Python full stack teams from traditional development practices to an AI-native engineering model. The leader will work with a client to develop the strategy, tooling, and cultural shift needed to embed AI agents and copilots throughout the software development lifecycle, from requirements and design through coding, testing, and deployment. This role involves fundamentally redesigning how a Python engineering organization plans, builds, and ships software, treating AI agents as first-class collaborators alongside human engineers and establishing new workflows, quality gates, and skills.

Requirements

• At least 10 years of software engineering experience.
• Deep hands-on expertise in Python, including Django, FastAPI, or Flask.
• Full stack development experience, including front-end frameworks such as React, Angular, or Vue; REST and microservices; and relational and NoSQL data stores.
• At least 3 years in an engineering leadership role, such as architect, engineering manager, or technical director, leading teams of 10 or more engineers.
• Hands-on experience integrating AI coding assistants or agentic tools into real development workflows and production adoption.
• Strong understanding of modern CI/CD, DevSecOps practices, and cloud-native architecture on AWS, Azure, or GCP.
• Experience designing or redesigning engineering processes or playbooks at scale, across multiple teams or a large program.
• Excellent communication skills, including the ability to translate technical AI-adoption strategy into business outcomes for engineering staff and executive stakeholders.

Nice To Haves

• Experience in a consulting or services environment, delivering to external clients under contractual SLAs.
• Familiarity with LLM and agent orchestration frameworks, including LangChain, MCP, and agent-to-agent protocols, and with prompt engineering best practices.
• Experience establishing governance frameworks for AI-generated code, including security scanning, IP risk, and model output validation.

Responsibilities

• Define the AI-native engineering vision for Python full stack delivery, including target-state workflows, tooling, and an adoption roadmap.
• Lead selection and integration of AI coding assistants, agentic development environments, automated code review, and AI-assisted testing and QA pipelines, ensuring interoperability with existing CI/CD, IDEs, and version control.
• Redesign SDLC processes to incorporate AI agents into requirements decomposition, code generation, test generation, code review, refactoring, documentation, and incident triage.
• Build and lead a center of excellence or working group for AI-native Python development, including reusable prompt libraries, agent configurations, standards for AI-assisted code, and governance for code quality and security.
• Develop training curricula and hands-on enablement programs to help engineers adopt AI-orchestrated development, including prompt engineering, agent supervision, and review of AI-generated code.
• Establish quality, security, and governance safeguards for AI-generated code, including IP and licensing risk management, secure coding practices, hallucination detection, and human-in-the-loop review gates.
• Define and track success metrics for developer velocity and throughput, code quality, defect rates, test coverage, cycle-time reduction, and cost-to-serve improvements attributable to AI-native practices.
• Partner with delivery leads, account teams, security and compliance teams, and client stakeholders to pilot AI-native delivery on live engagements and scale successful approaches.
• Monitor developments in AI coding agents, frameworks, and best practices, and continuously evolve the playbook.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed