AI Systems Engineer – Agentic AI, Enterprise AI Platforms & Secure AI Workflows

AI SYSTEMS ENGINEER AGENTIC AI, MULTI-AGENT SYSTEMS & ENTERPRISE AI PLATFORMS (GLOBAL) Remote • Worldwide We're building production AI systems for the enterprise. We are looking for exceptional AI systems engineers who enjoy designing and building production AI systems that solve complex enterprise problems. Our work spans agent orchestration, enterprise workflows, knowledge systems, secure AI platforms, human-in-the-loop decision support, and operational intelligence. We value engineers who think in systems, not just software. We're building production AI systems for organizations where reliability, governance, security, and measurable operational performance are essential. We're looking for exceptional engineers who want to help shape how enterprise AI systems are designed, deployed, and governed. If you're passionate about helping build production-grade AI systems for the enterprise, we'd like to talk. WHAT YOU'LL HELP BUILD Examples of the types of systems we design include: - Multi-agent AI systems - Enterprise AI assistants - Operational workflow automation - AI-powered knowledge systems - Human-in-the-loop decision support - Document intelligence - Retrieval-Augmented Generation (RAG) - AI memory and retrieval systems - AI evaluation and testing frameworks - Secure enterprise AI platforms - AI governance capabilities - Operational intelligence platforms - Technical Experience We Value We're interested in engineers with experience in some combination of: - Python - AI Agent Development - LangGraph - LangChain - Large Language Models - API Development - Vector databases - PostgreSQL - Enterprise system integration - Software architecture - Distributed systems - Secure application design - Experience with OpenAI, Anthropic, MCP, cloud infrastructure, workflow orchestration, observability, or production AI platforms is also valuable. We do not expect expertise in every technology. We care more about engineering judgment than checking every box. THE PROBLEMS WE ENJOY SOLVING The engineers who thrive here enjoy questions like: - How should multiple AI agents coordinate work? - How should humans remain in control of important decisions? - How should enterprise AI systems scale safely? - How should memory be designed for production AI? - How do AI systems improve operational performance? - How should enterprise AI systems balance continuous improvement with security, governance, and organizational requirements? If those questions excite you, you'll likely enjoy working with us. WHAT MAKES SOMEONE SUCCESSFUL HERE We're looking for people who: - Think in systems rather than individual features - Care about production quality - Enjoy solving ambiguous problems - Communicate technical ideas clearly - Balance speed with sound engineering - Build practical solutions rather than chasing hype - Continuously learn and experiment We are significantly more interested in systems you have built than technologies you have used. Please be specific and provide examples whenever possible. We recognize that many engineers use AI as part of their workflow. You're welcome to do the same. However, your application should accurately reflect your own experience, judgment, and technical thinking. We respect the confidentiality of your current and former clients. Please do not share proprietary or confidential information in your application. Describe your work at a level that demonstrates your thinking without disclosing protected information. PROFESSIONAL STANDARDS We value integrity, sound engineering judgment, and respect for intellectual property. Please do not include confidential, proprietary, export-controlled, or non-public information belonging to your current or former employers, clients, or partners in your application or work samples. We're interested in your engineering approach, architectural thinking, and problem-solving methodology – not confidential or proprietary information belonging to others. If you share code, architecture diagrams, technical documentation, or project examples, please ensure you have the right to do so and identify any material open-source or third-party technologies where appropriate. Any engagement, if offered, will be governed by a separate written agreement covering confidentiality, intellectual property ownership, compensation, and other applicable engagement terms. We are committed to protecting both our intellectual property and that of our customers, partners, and team members. We value original thinking, practical engineering, and demonstrated execution. Thoughtful, specific applications with concrete examples will stand out far more than generic descriptions or lists of technologies. Submission of an application or participation in the evaluation process does not create any employment, independent contractor, partnership, joint venture, agency, fiduciary, or other business relationship with 26ers AI, nor does it obligate either party to enter into any future engagement. 26ers AI reserves the right to evaluate applications, discontinue discussions, or decline to pursue any opportunity or engagement at its discretion.