AI Engineer

• Build and scale AI systems: Design, implement, and optimize core components of our agentic AI architecture with a focus on performance and reliability
• Develop agentic workflows: Build on multi-agent systems using LLMs, orchestration frameworks (LangGraph), RAG, and context engineering
• Ship advanced AI features: Develop innovative capabilities such as layout optimization, structured reasoning flows, and multimodal workflows
• Contribute to product evolution: Collaborate closely with product and engineering teams to shape features through experimentation and rapid iteration
• Drive continuous improvement: Help refine best practices for evaluation, deployment, monitoring, and scaling of AI systems in production

Freelance Senior AI Engineer – Multi-agent systems

• Neue KI-Technologien bewerten und in praxisnahe Lösungen übersetzen.
• KI-Lösungen konzipieren und umsetzen: Integration von LLMs und KI-APIs, Prompt Engineering, Aufbau von RAG-/Knowledge-Base-Systemen.
• Proof-of-Concepts entwickeln, neue Technologien evaluieren und erfolgreiche Ansätze in einen tragfähigen Zustand bringen – bis hin zur Übergabe an R&D oder in den produktiven Betrieb.
• Daten für KI-Anwendungen aufbereiten (ETL/ELT) und Ergebnisse fortlaufend evaluieren und verbessern.
• Use-Cases für KI im Unternehmen aktiv identifizieren – nicht nur mit der Tech-Brille, sondern mit Blick auf den konkreten Nutzen.
• Ergebnisse präsentieren und Fach- sowie Business-Teams bei KI-Themen beraten – auf dem jeweiligen technischen Niveau deines Gegenübers.

• We are building the newsroom of the future in Germany’s largest financial portal.
• AI handles routine tasks so our editorial team can focus on what truly matters: context, analysis, and point of view.
• AI-driven workflows for market reports, earnings recaps, economic updates, and much more
• Development of multiple n8n flows as a central editorial asset
• Wide selection of tools, API integration, quality assurance – end-to-end content repurposing at scale: articles, newsletters, and social media.

Editorial AI Lead

• You build and evolve MAIA's core product capabilities.
• Your primary focus is backend and AI systems - RAG pipelines, retrieval strategies, agentic workflows, and LLM integrations.
• You also implement the frontend changes needed to ship features end-to-end, while backend remains your main area of work.
• You design, implement, and ship features from discovery to production rollout, with a strong focus on backend and AI functionality.
• You build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost.
• You build evaluation approaches for LLM features - quality gates, regression detection, and observability that makes non-deterministic systems debuggable.
• You implement frontend changes needed to ship features end-to-end - simple, intuitive UI work that unblocks delivery, typically a small portion of total effort.
• You proactively scout new technologies and approaches, translate findings into production-ready solutions, and push the team's understanding of what is possible.
• You collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software.

Senior Fullstack Applied AI Engineer

• You’ll join the Agentic Ants team as our second native AI engineer.
• You’ll build and extend our agentic systems alongside the rest of the team.
• You’ll co-own the evaluation framework.
• Work across both Synera MAS and Synera Assistant.
• Partner with the wider engineering team to help go deeper on customer insights data.
• The evaluation framework is live with golden datasets across multiple agent surfaces.
• Co-own at least one agent surface with the team and become the go-to person for evaluation methodology at Synera.

• Develop tailored AI applications with a focus on generative AI.
• Evaluate the quality of models with respect to correctness, robustness and fairness.
• Ensure compliance with ethical and regulatory requirements.
• Collaborate with developers and quality engineers.
• Implement RAG applications and leverage agentic frameworks for innovative solutions.
• Support DevOps teams with best practices in LLMOps and security concepts.
• Select and evaluate off-the-shelf AI systems, taking cost, latency and scalability into account.
• Generate datasets for evaluation and implement industry standards in the field of AI.
• Conduct market research on new AI solutions to assess their potential for applications.

Senior AI Engineer

• Driving the digital development of production sites in Germany toward AI-supported Smart Factories
• Establishing efficient AI implementation and operating models, from structured solution development through stable operations to continuous improvement in day-to-day business
• Applying explainable analysis and modeling approaches (Explainable AI) to make AI-supported decisions transparent, understandable, and actionable for people
• Continuously monitoring new technologies, methods, and trends, critically assessing them, and selectively transferring suitable approaches into practical, industrial solutions for our production sites
• Closely collaborating with national and international teams, promoting knowledge transfer, and supporting cross-site harmonization and sustainable scaling of successful solutions

AI Engineer – Smart Factories

• Design and develop secure AI applications that deliver real value to users
• Use LLMs and Azure AI Foundry to build prototypes and production services
• Extend Microsoft Copilot using Copilot Studio
• Develop custom agents and scale solutions broadly via the Power Platform and Power BI
• Work closely with colleagues to make data and analytics infrastructures (Power BI & Fabric) AI-ready
• Integrate AI solutions into Dynamics 365 Business Central and other applications within the Microsoft 365 ecosystem
• Implement security and compliance standards and document best practices for sustainable use

AI Developer

• Advising our clients on the use of AI to increase employee productivity and efficiency (from non-technical staff to development teams) and on process improvements
• Conducting workshops and one-on-one sessions on all things AI with our clients
• Analyzing and identifying AI use cases within client environments
• Assessing current AI technologies and platforms, reviewing solution concepts, and applying best practices to client situations
• Enabling significant efficiency gains for our clients through AI adoption
• Independently developing GenAI platforms
• Designing and building AI and chatbot solutions
• Developing and implementing AI-driven solutions to automate complex processes

Cloud & AI Engineer

• Als AI Engineer (w/d/m) schreibst du nicht nur Notebooks und Prompts, du baust produktive GenAI-Systeme: Agenten, RAG-Pipelines, LLM-getriebene Workflows.
• Du arbeitest in crossfunktionalen, agilen Teams an Kundenprojekten und kommst dabei mit dem gesamten modernen GenAI-Stack in Berührung.
• Zusammen mit deinem Team berätst du unsere Kunden bei Use-Case-Identifikation,
• Architektur-Entscheidungen, Aufwandsschätzungen und der Auswahl geeigneter Vorgehensmodelle.
• Du analysierst Kundenanforderungen, entwirfst und implementierst agentenbasierte Lösungen und sorgst auch für gute Dokumentation.
• Du behältst stets die Qualität auf dem Schirm — und das heißt bei AI: systematische Evals, Regression-Tests gegen Goldsets, Hallucination-Monitoring, Cost-per-Inference-Tracking, Prompt-Versionierung, Observability für Agent-Traces.
• Du nutzt moderne, automatisierte Ansätze und AI-native Entwickler-Workflows zur Optimierung von Code, Fehlererkennung und für innovative Lösungen.

AI Engineer, Agentic AI Engineer

• KI-Standard mitgestalten: Du wirkst bei der Weiterentwicklung unseres Prompt- und Konfigurationsstandards mit, hilfst klar abzugrenzen, was in den Standard gehört und was kundenspezifisch konfiguriert wird, und entwickelst Sicherheitsnetze, damit die KI in den allermeisten Fällen sicher und zielgerichtet agiert
• Wiederverwendbare Bausteine: Du hilfst, robuste Prompt-Patterns und Konfigurations-Module aufzubauen und bereitest Guidelines sowie Best Practices so auf, dass Team und Service-Partner sie leicht anwenden können
• 2nd-Level-Support: Du unterstützt das Customer-Team bei kniffligen Fällen, bereitest fundierte Empfehlungen vor und übernimmst bei Bedarf die Abstimmung mit Kundinnen und Kunden
• Onboardings begleiten: Du unterstützt bei Kunden-Onboardings, nimmst Konfigurationen vor und beobachtest die Wirkung im Live-Betrieb, um zusammen mit Produkt und Engineering gezielte Verbesserungen abzuleiten
• CARL weiterbringen: Du arbeitest an der Weiterentwicklung unseres KI-basierten Onboarding- und Supportagenten CARL mit (Prompting, Tools, Workflows) und trägst dazu bei, Konfigurationsanpassungen für uns und Partner effizienter zu machen
• Evaluation und Monitoring: Du unterstützt beim Aufsetzen von Metriken, Tests und A/B-Experimenten für KI-Dialoge (z. B. Task Success, Sicherheit, Halluzinationen), richtest Monitoring mit ein und lieferst strukturierte Analysen für iterative Verbesserungen

AI Engineer – Healthcare

• Own the LLMOps pipeline: Evaluate infrastructure, prompt optimization loop, and the production integration that turns experiments into reliable customer-facing features
• Design evaluation strategy per output type: Decide when to use deterministic evals (exact match, schema validation, embeddings) vs. LLM-as-judge, and build the rubrics, test datasets, and human-review loops that make the system trustworthy
• Drive prompt engineering and optimization across all LLM operations in the product: Moving from hand-tuned prompts to a measurable, iterative process
• Pick the right tool for each problem: Some things are LLM problems, some are embedding + classical NLP problems, some are deterministic logic
• Run the production side of AI features: Observability (Langfuse /LangSmith / similar), cost and latency engineering, incident response when an LLM feature degrades
• Build human-in-the-loop workflows: Review queues, feedback ingestion, labeling; so production signal feeds back into evals and prompt iteration
• Mentor our AI & Analytics Intern and contribute to how we build the AI team over time

AI Engineer – LLM Ops & Evaluation

• You develop and operate AI-native features end-to-end — with a focus on quality, safety, latency, and cost efficiency.
• You build agentic applications and chatbots, including tool use, stateful workflows, and (multi-)agent orchestration.
• You establish standards and best practices for how we develop, evaluate, and deploy AI systems.
• You work closely with product and engineering leadership to translate business requirements into technical solutions.
• You actively shape experimentation workflows and long-term AI roadmap decisions.

• As a Team Lead, Engineering at Deel, you will lead a cross-functional team of 6-10 professionals, with a balance of leadership and hands-on technical work with AI.
• You will drive technical excellence, mentor your team, and deliver scalable, innovative solutions in a fast-paced, startup-like environment.
• Serve as a technical leader, combining hands-on development with strategic oversight.
• Design, code, and deliver high-quality, scalable applications using modern tech stacks (Node.js, Python, or similar).
• Provide mentorship and technical guidance, fostering growth and skill development within the team.
• Ensure best practices in development, testing, and deployment, driving innovation and excellence.
• Conduct thorough code reviews to maintain high coding standards and technical quality.
• Collaborate closely with product and design teams to create extraordinary user experiences.
• Drive technical planning and execution, balancing short-term objectives with long-term system health.
• Promote Agile methodologies to enhance team productivity and effectiveness.
• Facilitate knowledge sharing, cross-team collaboration, and continuous improvement.
• Define and implement technical strategies in alignment with organizational goals.
• Lead innovation through rapid prototyping, iterative development, and problem-solving.
• Identify technical risks and implement mitigation strategies to ensure successful delivery.
• Represent your teams in cross-functional discussions, aligning technical requirements with business objectives.
• Play an active role in hiring and scaling the teams, ensuring alignment with company values.
• Manage performance cycles, provide structured feedback, and support the professional growth of team members.
• Cultivate a culture of collaboration, inclusion, continuous learning, and engineering excellence.
• Champion diversity and foster an environment where all team members thrive.

AI Engineering Team Lead

• Develop and maintain our full‑stack applications within a modern JavaScript/TypeScript ecosystem
• Design and implement scalable backend services with Node.js and Nest.js
• Implement high‑performance frontend solutions using React.js and Next.js
• Design and optimize relational databases (PostgreSQL, MySQL, MS SQL)
• Containerize and orchestrate services using Docker and Kubernetes
• Develop and integrate REST APIs
• Build and operate data pipelines, feature stores and ML workflows for our agentic systems
• Develop, train and evaluate machine learning models for marketing use cases (attribution, targeting, forecasting, anomaly detection)
• Implement retrieval‑augmented generation (RAG) pipelines (embeddings, vector stores, re‑ranking)
• Set up and maintain LLM evaluation frameworks, prompt optimization and systematic quality benchmarks
• Apply code harnesses (notably Claude Code and Codex) in the daily development process — from planning through implementation to code review
• Collaborate closely with the founding team on the product architecture of agentic systems

Senior Full-Stack Developer – AI Engineer, German-speaking

• Design and implementation of production AI and agent systems
• Development of modern architectures around LLMs, knowledge graphs and data integration
• Not only setting up solutions conceptually, but also bringing them hands-on into production
• Responsibility for deployment and optimization of on‑prem LLMs (e.g., vLLM, Ollama)

Senior AI Architect, Consultant

• Design and implement innovative AI services to enhance the user experience across our global SaaS portfolio.
• Build, fine-tune, and deploy NLP and LLM applications (e.g., entity resolution, intelligent search, document understanding).
• Optimize provisioning of AI services for performance and scalability across a growing international customer base.
• Leverage observability tools and user/system data to generate actionable insights and continuously improve platform intelligence.
• Collaborate with cross-functional teams to integrate AI-driven features into modern, cloud-native applications.

• Entwicklung von KI-Modellen zur intelligenten Anreicherung, Klassifizierung und Normalisierung von Produktdaten
• Aufbau KI-gestützter Funktionen für PIM-Systeme, von Auto-Tagging über Attributextraktion bis hin zur Content-Generierung
• Entwicklung skalierbarer KI-Plattformkomponenten und APIs für nahtlose Produkterlebnisse
• Integration von KI-Lösungen direkt in PIM-Workflows und operative Systeme
• Analyse großer, komplexer Produktdatensätze – strukturiert und unstrukturiert – und Ableitung umsetzbarer Erkenntnisse
• Flexibler Umgang mit Ad-hoc-Herausforderungen, schnelles Problemlösen und Entwicklung pragmatischer Lösungen.

AI Engineer – Fokus auf smarte Produktlösungen

• Develop productive AI systems that take over fleet processes end-to-end
• Focus on LLM agents, robust RAG pipelines, backend integration, and production readiness
• AI agents handle communication, decision-making, and workflows — via API, events, and phone

AI Engineer – Zero-Click Fleet Management

• Lead the development and deployment of advanced AI systems that are transforming healthcare diagnostics.
• Design and implement AI-based systems, optimizing operations for seamless integration and efficiency.
• Build and maintain robust AI infrastructure to enable ongoing machine learning advancements.
• Conduct in-depth data analyses to inform strategic decisions and communicate actionable insights to stakeholders.
• Manage high-impact projects that align with our strategic objectives to sustain and expand our technological leadership.
• Develop comprehensive roadmaps for AI initiatives to ensure they meet our ambitious healthcare innovation goals.
• Uphold the highest standards of ethics and compliance across all AI initiatives, helping to define the future of ethical AI in healthcare.

See all jobs on JobTailor

Freelance Senior AI Engineer – Multi-agent systems

AI Engineer

Editorial AI Lead

Senior Fullstack Applied AI Engineer

AI Engineer

Senior AI Engineer

AI Engineer – Smart Factories

AI Developer

Cloud & AI Engineer

AI Engineer, Agentic AI Engineer

AI Engineer – Healthcare

AI Engineer – LLM Ops & Evaluation

AI Engineer

AI Engineering Team Lead

Senior Full-Stack Developer – AI Engineer, German-speaking

Senior AI Architect, Consultant

AI Engineer

AI Engineer – Fokus auf smarte Produktlösungen

AI Engineer – Zero-Click Fleet Management

AI Architect / Machine Learning Engineer