Ionic Partners
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.
Principal AI-Native Engineer
Job not on LinkedIn
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Ionic Partners
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 deterministic logic • Build, ship, and operate production agentic systems for 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 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 sustainable unit economics at scale • 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 into unfamiliar production codebases and extend them safely • Extract reusable components, patterns, and abstractions across functions and companies • Evaluate emerging models, frameworks, techniques, and tooling against real workloads • Define responsible autonomous-operation practices covering 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 underperforming systems and document the reasons
🎯 Requirements
• Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or related field, or equivalent practical experience; shipped systems can substitute for a degree • 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 supported real work • Demonstrated end-to-end ownership of systems from design through operation and improvement • 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, baselines, and regression detection • Experience operating LLM-based systems in production, including tracing, failure diagnosis, guardrails, and cost management at volume • Ability to become productive quickly in large, complex unfamiliar codebases and extend them safely • Experience working from specifications set by domain experts • Experience with platform, infrastructure, or developer-tooling work • People management experience is not required or advantageous • Ownership, autonomy, intellectual honesty, judgment, adaptability, cross-expertise collaboration, communication, disciplined curiosity, and high standards
🏖️ 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 • 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 • 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 • Home office setup stipend • Coffee chats, happy hours, cooking classes, book clubs, and more
Apply Now
