Technical Expert - Agentic Systems

In this role you will be the deep technical authority for Esko’s AI Platform, focusing on agentic AI capabilities across knowledge, tool use, planning, evaluation, and safety. You will own design, experimentation, and production hardening of core components, mentoring teammates, and shaping architectural decisions. You’ll work with cross-functional product teams to tackle hard AI problems in a regulated packaging domain, delivering robust, well-documented solutions. This is a hands-on, high-impact role that combines research, engineering, and practical execution to scale agentic AI across the business.

• Own the hardest technical problems in the agentic AI platform (data discovery, agent planning, tool-use, grounding, validation-before-action)
• Design, build, and harden the platform’s most technically demanding components with attention to edge cases and failure modes
• Serve as the go-to technical expert on agentic AI and LLM systems for the team
• Diagnose and fix platform-level issues related to performance, reliability, and correctness
• Contribute to architecture discussions and stress-test designs for scaling and reliability
• Evaluate new techniques, frameworks, and tools for agentic AI and LLMs and provide evidence-based recommendations
• Author technical deep-dives and documentation to disseminate knowledge across the team

• 10+ years of software engineering experience
• Experience as senior/staff/principal-level IC architecting and operating production agentic AI systems
• Proficiency in Python, TypeScript, Java, or similar languages
• Deep hands-on expertise in LLM agent frameworks, tool-calling, validation-before-action, RAG and retrieval architectures, evaluation, and observability
• Track record of setting technical direction across teams without formal management authority
• Strong production engineering judgment on reliability, security, multi-tenancy, performance, and observability
• Excellent technical communication, including writing RFCs and architectural documents
• Ability to operate with ambiguity and high autonomy
• Undergraduate, Master's, or PhD in CS/ML/DS/AI or related field (or equivalent experience)

• Excellent technical communication
• Comfort with ambiguity and autonomy
• Collaborative mindset
• LLM agent frameworks and orchestration
• Tool-calling and validation-before-action patterns
• RAG and retrieval architecture