AI Systems Engineer

Prolego helps large enterprises use AI to transform how they work by building and operating production systems in client environments. The AI Systems Engineer will work directly with clients to identify workflow opportunities, design and build AI applications, evaluate and improve system performance, and deploy reliable software into production while helping develop Prolego’s AI-native practices.

Responsibilities:

• Work directly with clients to understand their operations and propose opportunities they may not have considered. Help them choose useful next steps and understand the value and tradeoffs
• Design and build AI applications and the capabilities behind them, including data processing, retrieval, tools, APIs, and integrations with existing systems. Projects may involve helping employees find reliable guidance, reconcile complex documents, or complete recurring tasks
• Work with client experts to define what good performance looks like. Build evaluations from real examples, investigate failures, and use the evidence to improve the system
• Help deploy software within client environments, working with their technical teams on cloud services, testing, CI/CD, security, and release processes. Follow the work into production and improve its reliability, performance, and operation
• Earn clients' trust through patience, responsiveness, and clear communication. Challenge assumptions respectfully and recommend a better approach when one is available
• Use AI tools to improve how you and the team work. Automate routine development, testing, documentation, and operational tasks while taking responsibility for the quality of the results

Requirements:

• Strong software engineering fundamentals, practical Python experience, and evidence that you can deliver working software
• A demonstrated ability to learn unfamiliar technologies and domains quickly, apply what you learn, and improve your approach through feedback and experience
• Initiative and follow-through: you can investigate problems independently, make progress through ambiguity, and communicate when you need input or support
• Sound client judgment. You can understand the underlying business need, manage expectations, and connect technical decisions to the work people need to accomplish
• Curiosity about how a business operates and the ambition to make a meaningful difference through your work
• Much of our work happens in live video conversations with senior business leaders. You need strong spoken and written English and the ability to explain complex ideas, ask thoughtful questions, and discuss tradeoffs clearly
• Applicants must reside in the continental United States and be authorized to work in the U.S. without visa sponsorship
• Independent consulting, technical services, or other work with direct client responsibility is especially relevant
• Experience shaping an engagement, explaining its value, managing expectations, and carrying a solution into use is valuable, whatever your background
• Teaching experience is also valuable. The ability to explain unfamiliar ideas, adapt to another person's understanding, and patiently help them develop confidence and independence translates directly to our work with clients
• LLM applications, data systems, APIs, cloud deployment, CI/CD, observability, and DevOps practices are all relevant