on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
Executive partnership - Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu RAG dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions.
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Design, build, and run agentic workflows across our delivery process - requirements review, automated checks and gates, early risk detection
We love consulting! Do you?
We are looking for an experienced (Senior) AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning
Drive applied research and technical direction across retrieval and ranking systems - Design and evolve multi-stage retrieval architectures
SYSTEM DESIGN & ARCHITECTURE MANAGEMENT As Data & AI Platform Architect, you’ll lead the architecture, design, and implementation of scalabl
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
As a Senior AI Architect (m/f/d) you will drive the design, architecture, and governance of enterprise AI solutions across BEUMER Group.
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.
Betreut ISV-Partner im EMEA-Smart-Spaces- und Public-Sector-Ökosystem, berät technisch bei NVIDIA-KI-Integration und gibt Feedback an Produktteams.
Own architectural decisions in the categories the AI Lead defers on.
Ship AI applications end to end: discovery, design, build, evaluation, deployment, and operation.
Your mission Join our team and build the intelligent systems at the core of Cosuno s platform.
Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how busines
As a Senior Applied AI Engineer on our AI Platform team, you take AI at bunch from working to relied upon.
Build the intelligence behind the experience: the session and memory model, retrieval across our own estate and the documents that run it, t
SoundCloud empowers artists and fans to connect and share through music.
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist YOU ARE As a hands-on AI/LLM Architect, you
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 OriginalanzeigeRetrieval Augmented Generation heißt: Das Sprachmodell antwortet nicht aus dem Gedächtnis, sondern bekommt die passenden Stellen aus einem Dokumentenbestand mitgeliefert. Das ist derzeit der häufigste Weg, ein Modell an eigenes Firmenwissen zu binden, entsprechend oft steht es in Anforderungen. Die Arbeit liegt dabei weniger im Modell als im Drumherum: Dokumente zerlegen, Einbettungen wählen, die Suche messbar machen, Quellen ausweisen. Wer so etwas schon gebaut hat, kennt den Unterschied zwischen einer Vorführung und einem System, dem ein Fachbereich seine Akten anvertraut.