Applied AI Engineer
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
RevenueCat helps app developers manage subscriptions and make more money from them.
Entwickelt selbstkorrigierende Agenten-Schleifen für KI-generierten Embedded-Code und definiert deren Verifikationsstrategie inkl. CI und Traceability.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams.
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.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Entwickelt die SaaS-Plattform von Backend bis Frontend, zerlegt Aufgaben für Coding-Agenten, sichert Qualität per Review und entwickelt den Insurgo Agent weiter.
Entwickelt Kundensoftware, setzt Coding Agents und LLMs im Alltag ein und gestaltet die KI-gestützten Entwicklungsprozesse mit.
For hundreds of thousands of European entrepreneurs, our iOS app is Finom.
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
Entwickelt KI-Funktionen von Inferenz-Backends bis zu React-Oberflächen in ClickHouse Cloud, z. B. den Copilot und AI Functions.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Ship merged PRs. Add and improve SearchApi support in the frameworks and repos developers actually use.
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
Entwickelt und betreibt Backend-Services und APIs, die KI-Modelle und Inference-Systeme in ClickHouse-Produkte integrieren.
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Taktile empowers financial institutions to transform into truly AI-native organizations.
Advise on AI trust and governance.
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
Drive applied research and technical direction across retrieval and ranking systems - Design and evolve multi-stage retrieval architectures
Hostaway is seeking a highly motivated Senior Backend Engineer to join the Core team.
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.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.