Lead AI Architect, CH/UK/India/DE

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    "description": "<p><span style=\"font-family: helvetica; font-size: 10pt\">Kandou is looking for an <span style=\"font-weight: bold\">Lead AI Architect </span>to help design, build, evaluate, and deploy advanced AI agent systems for real-world use cases. This role is focused on agentic systems that go beyond conversational assistants: complex analytical workflows, knowledge-based reasoning systems, controlled inference pipelines, tool-using agents, and transparent decision-support architectures. </span></p>\n<p><span style=\"font-family: helvetica; font-size: 10pt\"><span style=\"font-weight: bold\">Location: Switzerland, UK, India or Germany</span></span></p>\n<p><br></p>\n<p><span style=\"font-family: helvetica; font-size: 10pt\">Hands-on experience across multiple agentic AI projects, ideally spanning both industrial and academic environments. Should be comfortable working at the intersection of large language models, symbolic reasoning, knowledge representation, workflow orchestration, evaluation, and full-stack (web) product development.</span></p>\n<p><span style=\"font-family: helvetica; font-size: 10pt\">This is a role for someone who can move from research concepts to working systems: designing agent architectures, implementing reasoning workflows, testing reliability, building user-facing interfaces, and ensuring that agentic behaviour is interpretable, controllable, and robust</span>.</p>\n<p><br></p>\n<p><span style=\"font-family: helvetica; font-size: 10pt; font-weight: bold\">Key responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Design and implement real-world agentic AI systems using modern agent frameworks and orchestration tools.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Develop agentic workflows that go beyond chat, including complex analytical pipelines, multi-step research workflows, tool-using agents, knowledge-grounded agents, and structured decision-support systems.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Work with knowledge-based AI architectures, including retrieval-augmented generation, knowledge graphs, symbolic rules, structured domain models, ontologies, and hybrid reasoning systems.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Develop and apply mechanisms for controlling inference, including planning constraints, reasoning policies, guardrails, validation layers, tool-use control, and human-in-the-loop checkpoints.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Explore and implement neuro-symbolic approaches for agentic reasoning, combining LLM-based reasoning with symbolic, rule-based, graph-based, or formally structured methods.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Build transparent AI methods that make agent behaviour traceable, explainable, testable, and auditable.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Create evaluation and testing frameworks for agentic systems, including benchmark tasks, regression tests, failure-mode analysis, trace inspection, robustness testing, and task-level performance measurement.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Develop full-stack prototypes and production applications, integrating backend services, APIs, databases, frontend interfaces, model providers, and orchestration layers.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Collaborate with researchers, engineers, product teams, and domain experts to translate ambiguous real-world problems into reliable agentic workflows.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Stay current with developments in agentic AI, reasoning systems, LLM orchestration, AI evaluation, and applied neuro-symbolic methods.</span></li>\n</ul>\n<p><span style=\"font-family: helvetica; font-size: 10pt; font-weight: bold\">Required experience</span></p>\n<ul>\n<li><span style=\"font-family: helvetica; font-size: 10pt; font-weight: bold\">Must have neuro symbolic reasoning experience.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Strong multi-project experience developing real-world AI agents or agentic workflows.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Demonstrated focus on agentic reasoning, including planning, decomposition, tool use, multi-step inference, workflow execution, or autonomous task completion.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience in either industrial AI development, academic research, or ideally both.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Hands-on exposure to knowledge-based agentic systems, such as agents grounded in knowledge graphs, structured documents, domain rules, ontologies, databases, or retrieval systems.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience with methods for controlling reasoning or inference, such as guardrails, constrained planning, validation layers, policy-based tool use, symbolic checks, or deterministic workflow components.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Familiarity with neuro-symbolic AI concepts or hybrid reasoning architectures.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience designing transparent, inspectable, or explainable AI methods.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Practical experience with agentic reasoning evaluation, testing, benchmarking, observability, or failure analysis.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Full-stack web development experience, including backend APIs and frontend application development.</span></li>\n</ul>\n<p><span style=\"font-family: helvetica; font-size: 10pt; font-weight: bold\">Technical Skills</span></p>\n<ul>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Strong Python engineering skills.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience with modern LLM and agentic AI frameworks, especially:</span></li>\n</ul>\n<ul style=\"list-style-type: circle;\">\n<li><span style=\"font-family: helvetica; font-size: 10pt\">LangChain</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">LangGraph</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">OpenAI SDK / OpenAI Agents SDK</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Retrieval-augmented generation systems</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Tool/function calling</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Multi-agent or multi-step workflow orchestration</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Agent evaluation and tracing tools</span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience with backend development, APIs, databases, and cloud or deployment environments.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience with frontend technologies such as React, Next.js, TypeScript, or similar frameworks.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Familiarity with vector databases, graph databases, semantic search, structured data pipelines, or knowledge graph tooling.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Someone who thinks beyond prompt engineering. Should be experienced in the architecture of reasoning systems: how agents decide what to do, how inference is constrained, how knowledge is represented, how workflows are verified, and how complex AI systems can be made reliable enough for real-world use.</span></li>\n</ul>\n<p><span style=\"font-family: helvetica; font-size: 10pt; font-weight: bold\">Qualifications and Portfolio</span></p>\n<ul>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Mature open-source contributions AND/OR.</span><br><span style=\"font-family: helvetica; font-size: 10pt\">Portfolio projects related to agentic AI, LLM systems, knowledge-based AI, neuro-symbolic reasoning.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience building AI systems in domains such as scientific analysis, enterprise knowledge management, decision support, research automation, legal/financial/technical analysis, or complex operational workflows.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience with production-grade AI system design, including observability, monitoring, testing, security, latency, cost control, and reliability.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Familiarity with human-in-the-loop systems, provenance tracking, workflow auditability, or regulated environments.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Experience integrating LLMs with external tools, APIs, databases, code execution environments, or analytical engines.</span></li>\n<li><span style=\"font-family: helvetica; font-size: 10pt\">Desirable: publications (at main NLP/ML/AI conferences)</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: helvetica; font-size: 10pt\"><a href=\"https://www.kandou.ai/careers\" target=\"_blank\" rel=\"noopener noreferrer\">www.kandou.ai/careers/</a></span></p>\n<p><br></p>",
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