Principal AI-Native Engineer

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Collaborate with subject-matter experts from portfolio companies to transform functional specifications into effective system designs.

• Develop agent architectures, which encompass boundaries, orchestration, control flow, tools, state, memory, human-in-the-loop placements, and deterministic logic.

• Construct, deploy, and manage production agentic systems that operate real business functions comprehensively.

• Enhance and fortify the internal orchestration framework.

• Advance automated development and QA agents within the engineering pipeline.

• Generate and sustain machine-readable context artifacts for products, customers, processes, and operational data.

• Formulate retrieval and context-assembly strategies while overseeing context budgets.

• Integrate agentic systems with codebases, CRMs, ERPs, support desks, data warehouses, and internal services.

• Establish success criteria and create evaluation harnesses, baselines, regression suites, and human-review sampling.

• Implement tracing and observability in production systems.

• Develop guardrails, fallbacks, retries, circuit breakers, approval gates, audit trails, and rollback paths.

• Monitor token and tool costs and devise sustainable unit economics at full capacity.

• Analyze evaluation trends, cost curves, and failure patterns in production.

• Investigate and address regressions, incidents, and quality drift.

• Adapt deployed systems as business processes evolve.

• Familiarize yourself with unfamiliar production codebases and extend them safely.

• Extract reusable components, patterns, and abstractions across various functions and companies.

• Assess emerging models, frameworks, techniques, and tools against real workloads.

• Establish responsible autonomous-operation practices concerning data exposure, IP protection, security, and human review.

• Review agentic work and elevate technical standards.

• Communicate system behavior, limitations, and intentions to engineers and operators.

• Decommission ineffective systems and document the reasoning behind the decisions.

⛳️ Requirements

• A Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related discipline, or equivalent practical experience.

• A strong portfolio of shipped systems may fully substitute for a degree.

• Over 8 years of hands-on software engineering experience in building and operating production systems.

• At least 3 years of experience developing AI-Native or agentic systems that have been deployed for real-world applications.

• Proven end-to-end ownership in designing, building, shipping, operating, and refining systems.

• Experience in integrating AI systems with production codebases, CRMs, ERPs, support and ticketing systems, data warehouses, and internal services.

• Familiarity with authentication, permissioning, and controls for autonomous systems.

• Experience in designing and executing evaluations for non-deterministic systems.

• Proficiency in building evaluation harnesses, establishing baselines, and identifying regressions.

• Experience managing LLM-based systems in production, including tracing, failure diagnosis, guardrails, and cost management at scale.

• Ability to quickly become productive in large, complex, and unfamiliar codebases.

• Experience working from specifications provided by domain experts.

• Background in platform, infrastructure, or developer-tooling roles.

• People management experience is not required or considered advantageous.

• Attributes such as ownership, autonomy, intellectual honesty, judgment, adaptability, cross-expertise collaboration, communication, disciplined curiosity, and high standards are essential.

🏝️ Benefits

• Access to cutting-edge models, agentic tools, and infrastructure without procurement hurdles.

• Authority to assess, select, and replace the team's tools and infrastructure as needed.

• Opportunity to work on a live production agentic platform that can be inherited and extended.

• Engage across a portfolio of operating businesses and diverse problem domains.

• Principal-level individual contributor path offering genuine scope and autonomy.

• No requirement to transition into management for career advancement.

• 100% remote work with a global reach.

• Flexible working hours.

• Asynchronous work arrangements.

• Regular and meaningful feedback provided.

• Support aimed at helping you achieve your personal career objectives.

• Access to state-of-the-art tools, playbooks, and technology.

• Opportunities to connect with thought leaders.

• Participation in webinars on advanced technology topics.

• Stipend for home office setup.

• Enjoy coffee chats, happy hours, cooking classes, book clubs, and more.