Principal AI-Native Engineer

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🔥 0 minutes ago

🌐 Argentina, Brazil, +5 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇨🇱 Chile – Remote 🇺🇾 Uruguay – Remote 🇸🇻 El Salvador – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Ionic Partners

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

🤝 B2B

☁️ SaaS

Enterprise • B2B • SaaS

Ionic Partners is focused on helping mature, successful companies navigate the '2nd Chasm', a phase beyond the early majority in the Technology Adoption Curve where growth flattens. By creating a horizontal platform, they aim to merge similar '2nd Chasm' companies to scale, innovate with modern products, build with experienced leaders, and take their solutions global. Their mission is to assist companies in finding new markets and customer bases to rejuvenate business growth and avoid traditional decline.

📋 Description

• Partner with subject-matter experts across portfolio companies to turn functional specifications into agentic system designs • Design agent architectures, including boundaries, orchestration, control flow, tools, state, memory, human-in-the-loop placement, and model-versus-deterministic logic • Build, ship, and operate production agentic systems that run real business functions end to end • Extend and harden the in-house orchestration framework • Improve automated development and QA agents in the engineering pipeline • Create and maintain machine-readable context artifacts for products, customers, processes, and operational data • Design retrieval and context-assembly strategies and manage context budgets • Integrate agentic systems with product codebases, CRMs, ERPs, support desks, data warehouses, and internal services • Define success criteria and build evaluation harnesses, baselines, regression suites, and human-review sampling • Instrument systems with tracing and observability • Build guardrails, fallbacks, retries, circuit breakers, approval gates, audit trails, and rollback paths • Track token and tool costs and design for sustainable unit economics at full volume • Monitor evaluation trends, cost curves, and production failure patterns • Investigate and resolve regressions, incidents, and quality drift • Evolve deployed systems as business processes change • Ramp quickly into unfamiliar production codebases and extend them safely • Extract reusable components, patterns, and abstractions across functions and companies • Evaluate emerging models, frameworks, agentic techniques, and tooling against real workloads • Define practices for responsible autonomous operation, data exposure, IP protection, security boundaries, and human review • Review agentic work across the organization and raise technical standards • Explain system behavior, limits, and intent to engineers and operators • Retire ineffective systems and document why

🎯 Requirements

• Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience • 8+ years of hands-on software engineering experience building and operating production systems • 3+ years building AI-Native or agentic systems that reached production and were used for real work • Demonstrated end-to-end ownership of systems designed, built, shipped, operated, and improved over time • Experience integrating AI systems with production codebases, CRMs, ERPs, support and ticketing systems, data warehouses, and internal services • Experience with authentication, permissioning, and controls for autonomous systems • Experience designing and running evaluations for non-deterministic systems • Experience building evaluation harnesses, establishing baselines, and detecting regressions • Experience operating LLM-based systems in production, including tracing, failure diagnosis, guardrails, and cost management at volume • Experience becoming productive quickly inside large, complex codebases and extending them safely • Experience working from specifications set by domain experts outside the candidate’s area of expertise • Experience with platform, infrastructure, or developer-tooling work • People management experience is not required or an advantage • Ownership, autonomy, intellectual honesty, judgment, adaptability, collaboration across expertise boundaries, communication, disciplined curiosity, and high standards • Nice-to-have: enterprise agentic systems, business-function automation, shared platforms/frameworks, enterprise SaaS or ERP, agentic development or QA workflows, legacy modernization, multi-company work, globally distributed organizations, open-source contributions, technical writing, or public agentic-systems work

🏖️ Benefits

• Access to frontier models, agentic tooling, and infrastructure without procurement friction • Authority to evaluate, choose, and replace the tools and infrastructure the team builds on • Live production agentic platform to inherit and extend • Unusual breadth across a portfolio of operating businesses • Principal-level individual contributor path with real scope and autonomy • No expectation to move into management to advance • 100% remote and global work • Flexible work hours • Asynchronous work schedule • Consistent and meaningful feedback • Support in achieving personal career goals • Access to leading-edge tools, playbooks, and technology • Introductions to thought leaders in the space • Webinars on cutting-edge technology topics • Stipend to set up an ideal home office • Coffee chats, happy hours, cooking classes, book clubs, and more