- Location
- de · Germany
- Workplace
- Hybrid
- Department
- Engineering
- Seniority
- Senior
- Experience
- 5+ years
- Source
- JOIN
Description
About Alpas
Alpas is a Y Combinator portfolio company building agentic sourcing technology for direct procurement. Our AI agents find, qualify and enrich suppliers so procurement teams reach objectives such as cost reduction, risk mitigation, resilience and innovation. We are based in Berlin, Prenzlauer Berg, and work hybrid.
The role
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.
Your responsibilities
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
What we are looking for
If you match most of these requirements and not all of them, you should still apply.
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
Degree in computer science, AI or a closely related field, or equivalent practical background
Strong Python and software-engineering practices (testing, CI/CD, Docker, cloud; GCP preferred)
Experience with LangGraph or comparable agent frameworks, vector databases and evaluation of LLM systems
Fluent English (C1); based in the EU, able to work hybrid from Berlin
PyTorch and NLP model training, Kubernetes, Terraform, Argo
Experience with procurement, supply chain or B2B data products
Your benefits
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