Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you design and develop automated AI agents with LangGraph for supplier analysis, build NLP pipelines, integrate with backend services, and manage MLOps workflows for enhanced efficiency.
Job Technologies
Your role in the 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.
- Maintain the codebase's health and promote knowledge sharing across the team through reviews and documentation.
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Our expectations of you
Education
- Degree in computer science, AI or a closely related field, or equivalent practical background.
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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.
- Hohe Eigenverantwortung und Verantwortlichkeit für die Steuerung eigener Projekte.
- Sehen Sie, wie Ihre Arbeit sofortige Ergebnisse für Stakeholder liefert und arbeiten Sie eng mit unserem Product-Team zusammen.
- Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee).
- Schnelle Entwicklung mit einer steilen Lernkurve.
- 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.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
ALPAS GmbH
ALPAS GmbH, based in Berlin, offers innovative AI-driven software solutions for optimizing supplier discovery and management. Their focus is on supporting procurement teams in the industry.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior AI Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
