Kombo
Senior Product Engineer(m/w/x)
Vollzeitnur vor OrtSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
LELeapsome
Lead (AI) Product Engineer(m/w/x)
Berlin
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Designing and building scalable AI applications with LLM-driven agents and RAG pipelines. Product-focused engineering discipline and tech lead experience required. Hybrid work, 4-day work week.
Anforderungen
- Product-focused engineering discipline
- Passion for solving user problems
- Scalable solutions development
- Leading end-to-end product development
- Experience as tech lead
- Experience as founding engineer
- Experience as senior IC
- Architectural decision making
- Establishing engineering systems
- Pushing back on product specs
- Full-stack engineering expertise
- Modern web frameworks expertise
- Backend technologies expertise
- Secure access management for enterprise data
- Experience with design systems
- Building user-friendly, modular components
- Building and shipping web applications to production
- Building and shipping LLM-powered applications to production
- Multi-agent orchestration experience
- RAG pipelines experience
- Utilizing modern AI coding assistants
- Using AI-driven code review tools
- Owning shipped code
- Critically reviewing AI-generated code
- Debugging AI-generated code
- Defending code decisions from first principles
- Valuing high-impact work
- Balancing high standards with efficient delivery
- Thriving with decision-making autonomy
- Extending trust to others
- Mentoring teammates
- Fostering collaborative engineering culture
Aufgaben
- Partner with product and design as a technical peer
- Shape scope and challenge assumptions
- Influence the roadmap to solve user problems
- Design and build scalable AI applications
- Integrate LLM-driven agents and RAG pipelines
- Orchestrate complex workflows autonomously
- Own end-to-end delivery of full-stack features
- Own end-to-end delivery of multi-agent AI workflows
- Make high-level architectural decisions
- Build reusable, user-friendly full-stack components
- Build conversational and chat-based UI/UX
- Architect secure data pipelines
- Architect robust access management systems
- Safely handle sensitive employee and company data
- Analyze agent performance analytics
- Analyze workforce insights
- Analyze process outcomes
- Refine features iteratively
- Ensure proactive triggers and nudges provide ROI
- Contribute to robust testing processes
- Contribute to monitoring processes
- Contribute to code review processes
- Pioneer AI evaluation suites
- Implement strict schemas for tool calling
- Implement 'human-in-the-loop' safety fallbacks
- Provide mentorship to the team
- Codify standard engineering patterns
- Codify standard AI patterns
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Vue.js
- React
- Node.js
- MongoDB
- Cursor
- Claude Code
- CodeRabbit
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Leapsome erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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LELeapsome
Lead (AI) Product Engineer(m/w/x)
Berlin
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Designing and building scalable AI applications with LLM-driven agents and RAG pipelines. Product-focused engineering discipline and tech lead experience required. Hybrid work, 4-day work week.
Anforderungen
- Product-focused engineering discipline
- Passion for solving user problems
- Scalable solutions development
- Leading end-to-end product development
- Experience as tech lead
- Experience as founding engineer
- Experience as senior IC
- Architectural decision making
- Establishing engineering systems
- Pushing back on product specs
- Full-stack engineering expertise
- Modern web frameworks expertise
- Backend technologies expertise
- Secure access management for enterprise data
- Experience with design systems
- Building user-friendly, modular components
- Building and shipping web applications to production
- Building and shipping LLM-powered applications to production
- Multi-agent orchestration experience
- RAG pipelines experience
- Utilizing modern AI coding assistants
- Using AI-driven code review tools
- Owning shipped code
- Critically reviewing AI-generated code
- Debugging AI-generated code
- Defending code decisions from first principles
- Valuing high-impact work
- Balancing high standards with efficient delivery
- Thriving with decision-making autonomy
- Extending trust to others
- Mentoring teammates
- Fostering collaborative engineering culture
Aufgaben
- Partner with product and design as a technical peer
- Shape scope and challenge assumptions
- Influence the roadmap to solve user problems
- Design and build scalable AI applications
- Integrate LLM-driven agents and RAG pipelines
- Orchestrate complex workflows autonomously
- Own end-to-end delivery of full-stack features
- Own end-to-end delivery of multi-agent AI workflows
- Make high-level architectural decisions
- Build reusable, user-friendly full-stack components
- Build conversational and chat-based UI/UX
- Architect secure data pipelines
- Architect robust access management systems
- Safely handle sensitive employee and company data
- Analyze agent performance analytics
- Analyze workforce insights
- Analyze process outcomes
- Refine features iteratively
- Ensure proactive triggers and nudges provide ROI
- Contribute to robust testing processes
- Contribute to monitoring processes
- Contribute to code review processes
- Pioneer AI evaluation suites
- Implement strict schemas for tool calling
- Implement 'human-in-the-loop' safety fallbacks
- Provide mentorship to the team
- Codify standard engineering patterns
- Codify standard AI patterns
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Vue.js
- React
- Node.js
- MongoDB
- Cursor
- Claude Code
- CodeRabbit
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Leapsome erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Leapsome
Branche
HR
Beschreibung
Leapsome is an AI-powered people platform revolutionizing HR for modern teams by automating and simplifying HR processes.
Noch nicht perfekt?
- Kombo
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