on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Taktile empowers financial institutions to transform into truly AI-native organizations.
Help us use technology to make a big green dent in the universe!
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Your mission Join our team and build the intelligent systems at the core of Cosuno s platform.
Baut KI-Lösungen mit LLMs und Agenten direkt in Kundenumgebungen, bringt sie in Produktion und setzt die technische Architektur fest.
Make an Impact by: - Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS - Own
Leitet das End-to-End-Design von AI-Agent-Erlebnissen über Messaging, Voice und E-Mail, von Discovery bis Launch, und stimmt Muster mit anderen Designern ab.
qlub is scaling fast across markets worldwide, and we look for people who take real ownership of their work.
German (C1+) and English required You make sure 10+ software companies get real value out of AI.
Was Du bei uns machst Vor Ort verstehen: Mit Fachabteilung und IT herausfinden, wo Zeit verloren geht und welche Daten wo liegen Bewerten: U
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Das verantwortest du: Das Python-Backend, das unsere medizinische Echtzeit-Dokumentation in Produktion antreibt Live-Transkription echter Ar
Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) t
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Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks - Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data - Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock - Familiarity with cloud-based deployment and scaling, ideally using AWS services - Strong problem-solving skills with a focus on maintainable, efficient, and scalable code - A collaborative mindset and comfort working remotely with distributed teams - Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI - Bonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems) - Bonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking - Bonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements - Bonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities - Bonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures Role
Tech stack you will work with: - Languages: Python - Frameworks & Tools: LangGraph & related LLM orchestration tools, Docling, LiteLLM, Phoenix - Infrastructure: AWS (Lambda, S3, ECS, and more) - Models: OpenAI, Anthropic, AWS Bedrock, and other foundation model providers Why to join us here at Mercanis? - The chance to shape the future of AI in procurement, designing intelligent systems that have real business impact A collaborative and innovative culture that values experimentation and continuous learning - Real ownership and autonomy in developing core AI components and system design - Career growth opportunities in applied AI engineering and architecture - Flexible remote setup in Spain - A team that values transparency, curiosity, and technical excellence
Your mission at Mercanis At Mercanis, we are building the Agentic AI Procurement Suite that powers the procurement of tomorrow, digital, transparent, and intelligent. We are looking for an experienced Agentic AI Engineer to join our growing AI team. In this role, you will design, build, and optimize agentic AI systems that automate complex procurement workflows and power intelligent decision-making across our platform.
You will work with cutting-edge technologies in Python, LangGraph, and AWS, integrating and fine-tuning models from leading providers such as OpenAI, Anthropic, and AWS Bedrock. Your work will have a direct impact on how organizations streamline their procurement processes and leverage AI for strategic advantage.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige62 geprüfte Stellen bei 49 Arbeitgebern, 11 davon ortsunabhängig. KI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.