Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du automatisierte KI-Agenten mit LangGraph für die Lieferantenanalyse, erstellst NLP-Pipelines, integrierst Backend-Services und kümmerst dich um MLOps-Workflows zur Effizienzsteigerung.
Job Technologien
Deine Rolle im Team
- You join our Engineering team as a senior individual contributor and report directly to the CTO.
- We work in small, cross-functional product teams without middle management; you own your projects end to end, from design to production operation.
- Your mission: Enable fully-automated supplier analysis at stellar quality.
- Design, build and operate production AI agents with LangGraph, including agentic workflow patterns (planning, tool use, reflection, human-in-the-loop).
- Build NLP and RAG pipelines (vector databases, retrieval strategies, evaluation) that feed the agents.
- Integrate agents reliably with our backend services (Python, FastAPI, Pub/Sub, GCP) and keep agent-to-agent and agent-to-backend interfaces scalable.
- Own MLOps for agentic workloads: CI/CD, monitoring, evaluation pipelines, cost control and inference efficiency.
- Set and meet quality targets (for example under 1% failure rate for the search agent) and benchmark models and approaches.
- Keep the codebase healthy and share knowledge across the team through reviews and documentation.
Unsere Erwartungen an dich
Ausbildung
- Degree in computer science, AI or a closely related field, or equivalent practical background.
Qualifikationen
- Strong Python and software-engineering practices (testing, CI/CD, Docker, cloud; GCP preferred).
- Fluent English (C1); based in the EU, able to work hybrid from Berlin.
- PyTorch and NLP model training, Kubernetes, Terraform, Argo.
Erfahrung
- At least 5 years of professional experience as an AI, ML, MLOps or backend engineer (working-student time does not count).
- Hands-on experience shipping LLM-based or agentic systems to production, not only prototypes.
- Experience with LangGraph or comparable agent frameworks, vector databases and evaluation of LLM systems.
- Experience with procurement, supply chain or B2B data products.
Unser Angebot
- Work on an AI-core product, develop cutting-edge ML models and NLP systems for automating the supplier search that drive innovation and deliver real impact.
- High ownership and responsibility to manage your own projects.
- See your work deliver immediate results for stakeholders and collaborate closely with our Product team.
- Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee).
- Rapid development with a steep learning curve.
- Awesome team events and an inclusive company culture with a diverse team.
- A hybrid work environment and a nice office in Berlin, Prenzlauer Berg.
- Honest, fast, and open collaboration as well as strong communication skills.
- We hire you because you are the subject-matter expert in your fields, we appreciate being challenged.
- Ability and willingness to commit to goals and tangible impact.
- Resourceful self-starters who hold themselves to high standards, have attention to detail, are intrinsically motivated & eager to learn on a daily basis.
- Proactive hands-on working style with passion for customer-facing tasks.
- Team members who are excited about our mission & tech.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
ALPAS GmbH
Die ALPAS GmbH, ansässig in Berlin, bietet innovative KI-gestützte Softwarelösungen zur Optimierung der Lieferantenfindung und -verwaltung. Ihr Fokus liegt auf der Unterstützung von Beschaffungsteams in der Industrie.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior AI Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
