Lead Engineer (AI-First) (m/w/d) 100%

Implico

DEINE AUFGABEN Warum diese Position für uns bei Implico wichtig ist: Unsere Produktlandschaft entwickelt sich rasant in Richtung AI‑Native mit intelligenten Funktionen, automatisierten Workflows und agentischen Systemen, die tief in unseren Cloud‑Architekturen verankert sind. Damit diese Innovationen nicht experimentell bleiben, sondern skalierbar, stabil und wirtschaftlich betrieben werden können, benötigen wir robuste AI‑Engineering‑Expertise. Als Senior Agentic AI Engineer – Public Cloud übersetzt du AI‑Konzepte in produktive Realität: Du entwickelst AI‑Features, integrierst LLM‑ und AI‑Services in Microservices‑Architekturen, baust RAG‑Lösungen und stellst sicher, dass diese sicher, performant und kostenbewusst arbeiten. Damit ermöglichst du zuverlässige, marktfähige AI‑Funktionalitäten in unseren SAP‑BTP‑ und Public‑Cloud‑Produkten – und beschleunigst unsere Transformation hin zu AI‑Native SaaS‑Systemen.     Dein Impact in den ersten 12–18 Monaten: * Du entwickelst AI‑gestützte Produktfunktionen und integrierst LLM‑Services (z. B. SAP AI Core, Azure OpenAI) über saubere API‑Schnittstellen. Dabei baust du RAG‑basierte Lösungen zur Nutzung strukturierter und unstrukturierter Daten und sorgst dafür, dass diese in produktionsreifen, skalierbaren Architekturen laufen. * Du implementierst AI‑Services in Microservices‑Umgebungen, berücksichtigst Multi‑Tenancy‑Anforderungen und setzt event‑getriebene Integrationsmuster um. Dabei stellst du sicher, dass AI‑Features robust, wartbar und betriebsstabil sind. * Du verankerst Observability in AI‑Funktionen – mit Logging, Monitoring, Output‑Validierung und Guardrails. Gleichzeitig sorgst du für kostenbewusste AI‑Nutzung, z. B. durch Token‑Optimierung, Skalierungslogiken und ressourceneffiziente Modellintegration. * Gemeinsam mit dem Director AI Engineering und dem Technical Architect – Public Cloud entwickelst du AI‑Standards weiter, coachst andere Engineers und prägst aktiv Best Practices im gesamten Engineering‑Team.     Wie du bei Implico arbeiten wirst: Du bist eingebettet in ein Engineering‑Team und arbeitest eng mit dem Technical Architect – Public Cloud, dem Director AI Engineering sowie dem Infrastructure & Release Lead zusammen. So arbeitest du bei uns: * Engineering‑zentriert & cross‑funktional: Du arbeitest Seite an Seite mit Architektur, Engineering und AI‑Spezialisten. * AI-first Umsetzung: Du baust AI‑Funktionen, die nicht nur technisch überzeugen, sondern operativ skalieren. * Cloud‑native & produktivitätsorientiert: SAP BTP, Node.js, Microservices und API‑first Architekturen sind dein tägliches Umfeld. * Senior Impact statt Führungspflicht: Du hast keine disziplinarische Verantwortung – dein Einfluss entsteht durch technische Tiefe, Ownership und Mentoring. * Qualität & Stabilität im Fokus: Du denkst Architektur, Sicherheit, Performance und Kosten immer mit. DEIN PROFIL * Mehrjährige Erfahrung in moderner Cloud‑ & Softwareentwicklung (Node.js / Cloud‑native) * Erfahrung in der Integration von AI‑Services oder LLMs in Produktivsysteme * Starkes Verständnis von REST‑APIs, Microservices & event-driven Architekturen * Erfahrung mit SAP BTP oder ähnlichen Plattformen * Kenntnisse in RAG‑Patterns, Prompt Engineering & AI‑Service‑Integration * Verständnis für Skalierung, Observability & Kostenmodelle in Cloud‑Umgebungen * Strukturierte, lösungsorientierte Arbeitsweise WARUM WIR? * Wir unterstützen mobiles und flexibles Arbeiten – auch aus dem Ausland. * Unser Arbeitszeitkonto hilft dir, Beruf und Privatleben in Einklang zu bringen.  * Ein Betriebsrat, der dir mit Rat und Tat zur Seite steht. * 30 Tage Urlaub im Jahr sind für uns selbstverständlich. * Wir fördern deine Entwicklung durch unser integriertes Karrieresystem. * Fort- und Weiterbildung ist uns sehr wichtig und wird bei uns offen praktiziert. * Konfiguriere jede Art von JobRad – oder mehrere auf einmal. * Veranstaltungen fördern unsere offene und teamorientierte Kultur.  * Du wirst mit internationalen Kollegen und Kunden zu tun haben. Und unser globales Team wächst. Werde ein Teil davon!

VR Smart Guide

WARUM DIESE ROLLE? Small and medium businesses are the backbone of the German economy. Yet most of them manage their finances by hand, across disconnected systems, with tools built for large enterprises. We want to change that. As part of the cooperative banking group, we reach a customer base across Germany that few startups can match. We are among the first to bring AI-driven financial products to this segment at real scale. What we are missing is the person who turns strategy into a shipped product. Our product manager sets the direction. Features then need someone who breaks them down, refines them with the team, and carries them to release. That is the gap you fill. DEINE MISSION You turn our product strategy into a prioritized roadmap, sharp user stories, and shipped features. You work daily with the product manager, lead engineer, engineers, and designer. You own the path from idea to release. DEINE AUFGABEN From strategy to deliverables * Translate business goals into a prioritized roadmap, epics, and actionable user stories * Write clear user stories with well-defined acceptance criteria * Prioritize the backlog and make trade-off decisions on scope versus timelines * Bring solution proposals backed by industry research Sprint execution * Prepare and run sprint planning and deep refinement sessions * Manage the Jira board and keep delivery visible for everyone * Solve daily questions directly with the lead engineer, engineers, and designer Quality * Define test cases and validate features before release * Run manual QA at first, then automate it step by step Data and automation * Pull your own data with SQL and build the dashboards you need * Define and track product metrics: KPIs, funnels, retention * Automate repetitive processes with AI and no-code tools where it creates value WAS DICH ERWARTET * A small team where each person takes full ownership and delivers autonomously * Startup pace with the backing and reach of a major banking group * Deliberate, growing use of AI, judged only by the value it creates for customers and for us * New technologies arrive fast, and we expect everyone to pick them up quickly * Structures are still forming, and you help build them DEIN PROFIL Must-haves: * 2+ years as a Product Owner or in a similar product role in fintech * Independent data work: SQL for your own queries, dashboards you build and maintain, product metrics you define and track * German language skills (min C1) Nice-to-haves: * Understanding of how AI products are built * Experience with user research, A/B testing, and experimentation * Understanding of APIs and how systems integrate * Experience with automation and no-code tools such as Zapier or n8n DEINE ENTWICKLUNG After 30 days: * You have internalized our strategy, product structure, and product history, and know where we want to take the product next * You know the product end to end, you know the Jira and tooling setup, and you have shadowed a full sprint cycle * You have working relationships with the product manager, lead engineer, designer, and engineers After 90 days: * You take larger strategy items, split them into deliverables, refine them, and plan sprints without support * You write clear user stories with well-defined acceptance criteria, independently * You own the sprint and the backlog and make the scope-versus-timeline calls * You run manual QA and define test cases before every release After 180 days: * You own one or more product areas end to end, from strategy translation through delivery and release * You track product metrics through dashboards you built, on data you pulled yourself * You proactively bring solutions backed by industry research and user insight * You have started automating repetitive work in QA, reporting, and workflows with AI and no-code tools If you want to own product delivery rather than administer a backlog, we should talk. UNSERE BENEFITS * Bildungsbudget: Bis zu 1.500 Euro pro Jahr, um dein Fachwissen und deine Fähigkeiten weiterzuentwickeln. * Freiraum zur Entfaltung: Gestalte deine Rolle und deine Arbeit so, wie du es für deine persönliche Entwicklung und den Erfolg des Unternehmens am besten findest. * Hybrides Arbeitsumfeld: Wir haben Standorte in Eschborn (nahe Frankfurt) und Berlin, um gemeinsam zu arbeiten und Ideen auszutauschen. Den Rest der Zeit genießt du die Flexibilität des Remote-Arbeitens. * Ein spannender Mix aus Kulturen: Ja, verschiedene Nationalitäten kommen zusammen, um kleine Unternehmen zu unterstützen. Gleichzeitig erlebst du die Dynamik eines Startups und die Stabilität einer etablierten Marke. * Eine Chance, einen Unterschied zu machen: Sowohl im Leben von kleinen Unternehmer*Innen als auch in der Gestaltung unserer Arbeitsweise, der Benefits, die wir etablieren, und der Art, wie wir unsere Erfolge feiern.

Langdock

HELP US CHANGE THE WAY THE WORLD WORKS BUILD SOMETHING THAT MATTERS. Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 6,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential. THE ROLE Platform Engineers at Langdock work on shared backend systems that many product features depend on. This includes the AI engine, queues, document processing, integrations, code execution, authentication, and billing. The job is to make these systems reliable and understandable enough that other engineers can build on them. That means designing clear APIs, choosing the right data models, handling failure cases, writing tests for important invariants, adding useful observability, and keeping abstractions simple enough to maintain. Typical problems include deciding which parts of a long conversation to keep in context, retrying background jobs without running the same side effect twice, handling model-provider failures during streaming responses, refreshing integration tokens before they expire, and enforcing tenant boundaries in shared services. WHAT YOU WILL WORK ON Examples of the kind of systems Platform Engineers own: * The AI engine at the core of the platform. It handles the prompts users send through Langdock and abstracts over providers such as OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, and open-source models. The work includes prompt caching, routing, failover across model deployments, and normalizing provider-specific behavior behind a stable internal interface. * The workflow runtime. Workflows need to execute reliably across agent steps, conditions, loops, structured-output extraction, human-in-the-loop pauses, and actions across hundreds of integrations. The platform work is about making that execution model predictable, observable, and safe to extend. * Context-window optimization. Long conversations, uploaded files, and tool calls need to stay correct while model costs stay under control. This is one of the most cost-sensitive parts of the platform. * A code execution service for running untrusted customer code. Today this means JavaScript in some places, but the direction includes broader execution environments such as Bash. The hard part is clear isolation: secrets, filesystem access, outbound network access, and tenant boundaries need to be controlled explicitly. * A flexible integration layer for connecting Langdock to external services. Most integrations are standard REST APIs, but the platform also needs to support industry standards for tools and agents, including Model Context Protocol (MCP) and agent-to-agent (A2A) communication. You will pick up a platform area over time and can shape where it goes next. TECH STACK * TypeScript across a Turborepo monorepo * Next.js, React, and Tailwind on the front end * Node.js services and workers on the back end * PostgreSQL with Prisma; Redis with BullMQ * A multi-provider model abstraction across OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, and open-source models * Sandboxed Node.js for code execution * Multi-cloud storage abstraction over AWS S3, Azure File Share, and GCS * Terraform for infrastructure orchestration * Kubernetes for workloads that need portable deployment across cloud providers * Linear for ticket management * Datadog and Sentry for observability You should be familiar with most of this. We trust you to pick up the rest quickly. HOW WE SHIP * Small temporary squads of 2 to 3 engineers around a topic. Squads form, ship, and dissolve. * Every change is linked to a Linear ticket and ships via PR. CI runs lint, tests, and AI review. * We deploy continuously to production. * We use AI tools heavily in engineering. You have freedom in the tools to use (eg. Cursor, Claude, Codex). We are building a strong harness that allows engineers to move fast while shipping high quality software. * We are building a strong operating system around AI-assisted shipping: clear ticket context, focused branches, AI review before human review, explicit rollout notes for risky changes, and production verification after release. * The engineer who ships a change owns it in production. If something breaks, you lead the fix. WHAT WE ARE LOOKING FOR * 3 to 6 years of experience building back-end systems that handle real load: queues, caches, databases, streaming pipelines, distributed schedulers. You can talk through failure modes and tradeoffs from systems you have actually run. * Strong in TypeScript and Node. Opinionated about API design, abstractions, and where boundaries should sit. * Some infrastructure experience: Terraform, Kubernetes, cloud deployments, networking, or operating services across AWS, Azure, or GCP. * Very driven. You have high standards for yourself, move fast without needing to be pushed, and want to do the best work of your career. * Working knowledge of the LLM ecosystem at a technical level: context windows, tool calling, streaming protocols, provider quirks, prompt caching. * Habit of adding metrics, traces, and structured logs because you have been on call before and know you will need them. * Security-first mindset. Multi-tenant data isolation is a design constraint, not a postscript. * Heavy user of AI tooling in your own development workflow, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI. WORKING HERE We work from one office in Berlin, Greifswalder Str. 212. Engineering is fully in person; we believe the hardest problems get solved faster at a whiteboard than in a Slack thread. Most engineers start around 8:30. Lunch and dinner are together when people stay. Running and gym are part of the routine for many of us. COMPENSATION Top of market, transparent levels, all roles include equity. Levels are tied to scope, not negotiation or years of experience. We narrow down the range early in the process. NEXT STEPS If this sounds like your kind of work, we would like to meet you. We move fast. Most processes complete within two weeks.