About The Position
SmartLogic is seeking an experienced AI engineering consultant or practitioner to help them move from individual, ad hoc AI usage to a more intentional, repeatable, team-wide approach to AI-assisted software development. This role is not a management position but involves working directly with Staff Engineers and developers to assess current workflows, identify improvement opportunities, and build the skills, standards, and workflows for effective AI use in production software development. The goal is to upskill the existing staff with modern AI practices, enabling them to build high-quality software faster and better than with traditional methods alone. This engagement aims to increase engineering capacity, improve delivery efficiency, reduce rework, keep the team competitive, and create consistent, responsible AI practices.
Requirements
- Staff Engineer-level software engineering depth and judgment.
- Strong enough in traditional software engineering practices to effectively coach experienced Staff Engineers and senior developers.
- Deep, hands-on experience using AI-assisted development and agentic coding tools in real production codebases.
- Demonstrated ability to help engineers use AI without lowering the bar for architecture, maintainability, testing, security, code review, and overall software quality.
- Experience helping engineering teams adopt AI, not simply using it personally.
- Experience developing practical workflows, standards, playbooks, or internal tooling that other engineers actually use.
- Strong understanding of the risks and limitations of AI-generated software, including when AI assistance should not be used.
- Experience evaluating the impact of AI on software delivery without relying solely on superficial adoption metrics.
- Strong coaching and communication skills, including the ability to influence and develop experienced engineers with established technical practices.
- Ability to sign an NDA.
Responsibilities
- Assess current AI usage, engineering workflows, skill levels, pain points, and opportunities across the team.
- Identify the highest-value use cases for AI-assisted development within SmartLogic's environment.
- Evaluate AI tools and practices and recommend where SmartLogic should standardize, experiment, or avoid adoption.
- Develop a practical AI engineering enablement upskill strategy and prioritized roadmap.
- Establish repeatable practices, standards, playbooks, workflows, or reusable tooling that can be adopted across project teams.
- Upskill developers and Staff Engineers through hands-on application of AI in real development workflows that shows measured efficiencies.
- Ensure AI-assisted development maintains strong engineering standards around architecture, maintainability, testing, code review, security, privacy, and quality.
- Help establish appropriate baselines and measures for assessing whether AI adoption is meaningfully improving software delivery profit margin.
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What This Job Offers
Career Level
Entry Level
Education Level
No Education Listed
