Senior AI Engineer (f/m/d)

Alpas•Technology

BerlinFull-timeOn site2 weeks ago

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📄Stellenbeschreibung

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