Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
Überwacht KI-gestützte Marketing-Automatisierungen und Kampagnen, prüft Inhalte und Zahlen und baut kleinere KI-Workflows selbst.
Überwacht KI-gestützte Aussendungen und Kampagnen, prüft KI-Ergebnisse auf Fehler, baut eigene KI-Automatisierungen und wertet Marketingzahlen aus.
Einleitung Wir sind eXXcellent solutions.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Remote dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Ship merged PRs. Add and improve SearchApi support in the frameworks and repos developers actually use.
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the
We’re looking for an Agentic Platform Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
We’re looking for an MLOps Engineer to join our tech team and help build the future of neuro-contextual advertising at global scale.
Du machst Machine Learning produktionsreif: Du entwickelst skalierbare Daten- und Modell-Pipelines auf AWS und bringst Machine-Learning-Mode
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen Bewertung aktueller AI-Technologien und -Plattformen, prüfen von Lösungskonz
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
Als AI Engineer (w/d/m) schreibst du nicht nur Notebooks und Prompts, du baust produktive GenAI-Systeme: Agenten, RAG-Pipelines, LLM-getrieb
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
Baut mit SQL und KI-Tools Dashboards, Reports und Workflows für Praxen und Radiologiezentren und entwickelt dabei neue KI-Anwendungen.
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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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