Software Engineer, Platform Experience
Löst Produktionsprobleme von Kunden end to end, diagnostiziert Fehlverhalten von KI-Agenten (Prompts, Wissensbasis, Config, Modell) und automatisiert Fixes.
Löst Produktionsprobleme von Kunden end to end, diagnostiziert Fehlverhalten von KI-Agenten (Prompts, Wissensbasis, Config, Modell) und automatisiert Fixes.
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
Executive partnership - Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
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.
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-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
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions.
Entwickelt Stromrichter der Leistungselektronik und nutzt Deep-Learning-Modelle zur Optimierung von Magnetik, Topologien und Regelung.
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
Warum dieser Job gelistet ist
Kernaufgabe ist das Debugging und die Korrektur von LLM-Agenten und Prompts; ohne KI-Bezug fehlt der Kern der Rolle.. Prüfverfahren ansehen
You take the hardest problems customers hit in production and solve them end to end: a webhook that stopped firing, an agent filling the wrong parameter, a report that won t reconcile. You find the real cause, work the customer to resolution, then build the automation so it doesn t come back. This is the front door to deployment and platform work at Siena, with a clear path into Forward Deployed Engineering or deeper platform work.
- Own hard problems end to end: trace, reproduce, fix, or hand engineering a clean reproduction. Get on the call when that s the fastest path - Debug the agents and the prompts. Diagnose whether a misfire is prompt, knowledge base, config, or model, then fix it so it holds under real traffic - Build so it doesn t happen twice. For every fix, ship the runbook or tool that stops it recurring - Close the loop to Product. Surface patterns, not one-offs, backed by metrics - Raise the team s floor. Lift what the whole team can resolve, not just what you can - Know where your scope ends. Escalate genuine product bugs and outages with a clean reproduction, not a shrug - Within 90 days, name the top recurring failure patterns and attack them at the root, not just patch symptoms Who You Are The Bar: If you re missing any of these, this isn t the role for you. - You solve problems end to end. Given a customer, some logs, and a vague symptom, you find the break and can tell a customer-side cause from a product bug - You re fluent with AI agents and prompts. You ve built or debugged LLM workflows and know how they break: prompts, knowledge bases, retrieval, the gap between test and live - You re excited to build automation, not just fix what s in front of you. You think in leverage. This is the signal that matters most Strong Signal: Not dealbreakers, but what separates a good hire from a great one. - You like talking to customers. You ll get on a call and resolve the real problem live, not just the reported one - Comfortable in our core stack (Node.js, TypeScript, React, Express) or close enough to ramp fast - Fluent with AI coding tools (Claude Code or equivalent) to script, clean data, or navigate a new codebase fast - You own problems nobody assigned you, and you make the people around you better through docs and walkthroughs
Bonus, not required. - Observability tooling (Grafana, Honeycomb, Sentry) - Internal tooling that turned manual work into a system - Ecommerce or DTC exposure Not a Fit If: - You stop at it s not our bug instead of finding the real cause - You d rather build the fix than talk to the customer who hit it - You want a backlog of well-scoped tickets, not ambiguous production fires Why Siena? Real ownership. You will own problems, not tasks, with the autonomy to solve them your way and the trust to do it without a manager in your inbox.
Work that ships and matters. What you build reaches real consumer brands fast. A category we are creating.
The Agent of Record is new ground, with unsolved problems and cutting-edge models, not a crowded field to compete in. A team that respects your judgment. Globally distributed, async-first, low bureaucracy.
We hire adults and treat you like one. Great salary plus equity or stock grants. Own a piece of what you build.
Learning budget. If you are growing, so are we. AI-fluency by default.
Few places will push your work with production AI further or faster. Our values The people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later.
They re direct about feedback - both giving and receiving it - because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that s how great work gets done. When things get tough, they adapt and keep pushing forward.
Our approach to AI The people who thrive here treat AI like a natural extension of themselves. They ve built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.
Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows.
Slack threads about which model handles a specific use case better. Learning from each other s AI workflows. At Siena, we re not just looking for people who can do a job.
We re looking for people who want to break boundaries, create the future, and reshape industries. If that s you, we look forward to your application. How we hire We use AI-assisted screening tools as part of our hiring process.
All decisions are made by humans. You can request a human-only review at. Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression.
We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Meet Siena Siena is the Agent of Record for CX, built for consumer brands like Spanx, FIGS, Brooklinen, and Grüns. It runs as a connected multi-agent stack on top of a shared intelligence layer: agents that sell, support, listen, handle social and voice across the entire customer journey, turning every conversation into signal you can act on. The team We are a small, fully distributed, global team.
We have built leverage into how we work, which is what lets a team this size move at the speed we do. We hire athletes. Everyone here owns real outcomes, defaults to writing over meetings, communicates with directness, and acts the moment they see something worth acting on.
Low ego, high standards, fast clock. If you want to set the bar rather than follow one, keep reading.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige