Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
Entwickelt selbstkorrigierende Agenten-Schleifen für KI-generierten Embedded-Code und definiert deren Verifikationsstrategie inkl. CI und Traceability.
We re looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products.
KI-Funktionen direkt in unsere Produkte integrieren: Chat- und Assistenzfunktionen, generative Modelle sowie Automatisierung auf Basis von K
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
As an Agent Strategist, you own how Sierra s AI agents come to life for our customers — from first pilot to a production agent handling thou
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ens
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
Löst Produktionsprobleme von Kunden end to end, diagnostiziert Fehlverhalten von KI-Agenten (Prompts, Wissensbasis, Config, Modell) und automatisiert Fixes.
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
Taktile empowers financial institutions to transform into truly AI-native organizations.
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
Verantwortet technische Ausrichtung und Architektur einer Virtual-Power-Plant-Plattform, inkl. Agent-fähiger APIs und Umstellung des Teams auf agentisches Engineering.
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can
Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers.
is based in Munich, Germany.
Develop and execute an AI and automation roadmap for the Western Europe Amazon e-commerce function - Support in building a future-proof e-co
As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
Make an Impact by: - Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS - Own
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making. - Design and implement agentic workflows — orchestrating LLMs, retrieval systems, and external tools into reliable, production-grade pipelines. - Integrate agents with client applications, APIs, and enterprise systems. - Evaluate, iterate on, and optimize agent performance using structured testing, tracing, and observability. - Deploy and maintain generative AI solutions in production environments (APIs, microservices, cloud architecture). - Document your work, follow best practices for LLMOps, and help shape AI development standards at Appsilon. - Work closely with Data Engineers, Developers, and Analysts to integrate GenAI solutions into full-scale applications. We’re looking for someone with: - Proven experience building and deploying AI agents or agentic systems in production (not just prototypes). - Deep familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, Autogen, Claude Agent SDK, or similar). - Strong understanding of prompt engineering, retrieval-augmented generation (RAG), tool use, and function calling patterns. - Hands-on experience with LLM APIs (OpenAI, Anthropic, Google, open-source models) and managing their lifecycle in real-world applications. - Strong programming skills in Python with experience building robust, maintainable backend services. - Ability to evaluate and debug agent behavior - including tracing, logging, and structured evaluation of multi-step workflows. - Excellent communication skills and a collaborative approach to teamwork.
: - Experience with cloud deployment (AWS, Azure, GCP) and containerization (Docker / Kubernetes). - Knowledge of vector databases (Pinecone, Weaviate, Qdrant, pgvector) and embedding pipelines. - Familiarity with LLMOps and observability tools (LangSmith, Langfuse, Weights & Biases, etc.). - Background in classical ML (scikit-learn, PyTorch, TensorFlow) and understanding of the model training lifecycle. - Experience working with large-scale or scientific datasets (biostatistics, genomics, pharma). - Understanding of AI ethics, bias, and responsible AI principles.
: - 100% remote work, flexible schedule, and a global team culture. - Competitive B2B compensation with transparent ranges. - Work on impactful, real-world products used by enterprise clients and scientific industries. - Budget and dedicated time for professional development (courses, certs, conferences). - A chance to collaborate with a brilliant group of researchers and industry experts. - Modern equipment and tools for efficient development. - Supportive environment with room for innovation, experimentation, and ownership. Important note: To complete the hiring process, you need to have a valid government-issued ID (for Polish citizens) or a valid passport (for non-Polish citizens). Recruitment Process - General interview with the People Team. - Technical task (Codility test). - Technical interview - Final interview with the Head of Technology - Offer. Does this sound like a great opportunity for you? Use the Apply button below! Appsilon is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
Why do we need you? At Appsilon, we empower global organizations to make smarter decisions with data. Our solutions help Fortune 500 companies discover new drugs, save lives, optimize operations, and unlock millions in value.
To do this, we rely on robust, scalable, beautifully engineered data systems. We re looking for an AI Engineer who combines strong engineering fundamentals with hands-on experience building and deploying AI agents and generative AI solutions - someone who can design agentic workflows that deliver real value in production.
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.