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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and implementing generative AI systems, with a strong focus on hands-on development and team leadership. Proven ability to translate AI capabilities into practical product features while ensuring best practices in AI development and deployment.
Highest-signal resume keywords
Generative AI Systems ArchitecturePython ProficiencyAgentic AI Systems ExperienceAI Team LeadershipLLM Evaluation and Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Roadmap DefinitionProduction-Ready AI ImplementationAI Development Best PracticesAI Feature DeliveryBackend Development
Soft Skills
MentoringCommunication with StakeholdersProduct Mindset
Tools & Technologies
LangSmithLangfuseObservability Frameworks
Industry Keywords
Applied AI SystemsRAG SystemsAgentic WorkflowsAI Product IntegrationFast-Paced Environment
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Define and execute the AI roadmap across all AI products
- Lead, mentor, and grow the AI team
- Architect and implement production-ready generative AI systems across voice, chat, and document workflows
- Contribute hands-on (approximately 40%) to core AI systems, including architecture, implementation, and optimization
- Design and oversee agentic workflows, RAG systems, and LLM-based architectures
- Establish and scale evaluation, testing, and observability frameworks for AI systems
- Define and enforce best practices for AI development, deployment, and iteration
- Ensure reliable delivery and fast iteration within a small, high-impact team
- Partner with product, design, and engineering teams to integrate AI into product workflows
- Translate AI capabilities into clear, practical product features
- Act as the AI authority within the company
- Communicate AI strategy and progress to technical and non-technical stakeholders
- Report to the Head of Engineering
- Lead AI across JUPUS’s Website Chatbot, Marie AI Phone Assistant, and Case File & Document AI modules
Requirements
What you’ll need- 5–6 years of experience building and shipping applied AI systems in production
- Proven hands-on experience with agentic AI systems and/or RAG in production
- Strong proficiency in Python and backend development for AI-driven products
- Demonstrated experience leading or mentoring AI engineers, including setting technical direction and raising team standards
- Track record of owning and delivering AI features end-to-end in a product environment
- Experience with LLM evaluation, monitoring, and observability (e.g. LangSmith, Langfuse, or similar)
- Ability to balance hands-on work with technical leadership in a fast-paced environment
- Strong product mindset and ability to translate AI capabilities into real user value
- Must be located in the CET -2/+2 zone
- Permanent employment required; B2B hiring unavailable
Benefits
Comp & perks- Foundational Impact – Help build and scale the core AI capabilities of JUPUS from the ground up
- Technical Ownership – Work directly on the systems powering AI features across multiple products
- Growth Environment – Build production AI systems at the cutting edge of generative AI and agentic workflows
- Leadership Visibility – Flat hierarchy with direct access to the Head of Engineering and CTO
- Fully Remote – Enjoy the flexibility of working from anywhere
- Top Equipment – State-of-the-art MacBook plus all the accessories you need
- Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle
