on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
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.
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
As an AI Product Manager, you ll work on products in our AI audit toolbox alongside engineers, designers, auditors and our founders.
We are looking for an experienced (Senior) AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning
We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI.
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS - Architect and build Swift-first, pro
& THE TEAM Join our dynamic Logistics Network Planning team, where you’ll be at the forefront of shaping the future of Zalando’s logistics operations.
The website. Technical blogs, webinars, and product videos.
As a Senior Applied AI Engineer on our AI Platform team, you take AI at bunch from working to relied upon.
SoundCloud empowers artists and fans to connect and share through music.
Baut und betreibt AWS-Infrastruktur, die Agenten und LLM-Services sicher, beobachtbar und kostenkontrolliert von Prototyp in den Produktivbetrieb bringt.
Baut KI-Lösungen mit LLMs und Agenten direkt in Kundenumgebungen, bringt sie in Produktion und setzt die technische Architektur fest.
You’ll identify open AI opportunities, build them from start to finish, and bring them to real users.
As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
Data sits at the heart of the company.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
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 Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.