Senior AI Engineer (f/m/d)

Alpas; Berlin; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

Hybrid Arbeitsumfeld

Steile Lernkurve

Diverse Team-Events

Job summary

Ein innovatives Technologieunternehmen in Berlin sucht einen Senior AI Engineer zur Entwicklung und Automatisierung von ML-Modellen. Sie werden in einem dynamischen Team an spannenden Projekten arbeiten, die sofortige Ergebnisse für Stakeholder liefern. Der ideale Kandidat hat 4-6 Jahre Erfahrung in MLOps oder als AI Engineer, beherrscht Python und hat ein starkes Interesse an innovativer AI-Technologie. Die Stelle bietet ein hybrides Arbeitsumfeld und die Möglichkeit, an der Spitze der Technologie zu arbeiten.

Qualifications

• Fließend in Englisch (C1-Niveau).
• Erfahrung im Entwickeln von skalierbaren KI-Agents.
• Kenntnisse in MLOps-Tools wie KubeFlow oder ähnliche.

Responsibilities

• Automatisierung der Entscheidungsfindung bei der Supplier-Suche.
• Entwicklung von skalierbaren KI-Agents mit NLP-Pipelines.
• Implementierung von MLOps-Pipelines für ML-Modelle.

Skills

Python

PyTest

Machine Learning

MLOps

Natural Language Processing (NLP)

Teamarbeit

Kommunikation

Education

4-6 Jahre Erfahrung in MLE/MLOPs/AI Engineering

Tools

Docker

Kubernetes

MLFlow

PubSub

FastAPI

Job description

DIE POSITION

We’re excited to find a sharp Senior AI Engineer to join our dynamic Data Science team! You’ll be at the heart of developing, optimizing, and integrating ML models and architecture to fully automate Alpas’s core product. Your mission: Fully automate the supplier search at stellar quality. Plus, you’ll get to boost model inference efficiency and set up auto-retraining systems. If AI excites you, you excel at problem-solving, and you thrive in a fast-paced setting, we’d love to hear from you!

WAS WIR BIETEN

• 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

DEINE AUFGABEN

• Help and guide the team to succeed with their goals of automating the decision making during the supplier search. Be in charge of AI and Agentic Architecture from training to inference, ensure stable performance, quality and integration with other components of internal software. Continuous improvements of models in all aspects based on stakeholder requirements and develop new AI solutions

• Develop scalable AI agents with Langgraph and NLP pipelines

• Develop RAG systems using vector databases

• Apply system design thinking for E2E solutions

• Ensure seamless integration into the Alpas platform

• Apply agentic workflow patterns

• Implement MLOps pipelines for ML models

• Optimize for model performance and inference efficiency

• Maintain codebase and adopt good practices

• Train and evaluate pytorch NLP models

• Research and adapt new AI tech developments

• Benchmark models and solutions

• Support and mentor junior engineers

• Less than 1% failures for search AI agent

• Scalable & reliable integration among agents as well as agents & backend

• Build monitoring pipeline for all AI agents at scale

• Control cost of agentic workloads

• Meet quality targets

DEINE ERFAHRUNG

If you don’t fit all the requirements, don’t be discouraged from applying. We are looking for the willingness to learn more than specific skills.

• Experience:

• MLE/MLOPs/Software Engineer (Machine Learning)/Backend Engineer (ML/AI)/ SWE Data/DE/ML Platform Engineer/AI Engineer

• 4-6 years experience

• Technical Skills:

• Python, PyTest

• Argo, PubSub, CI/CD, Docker, FastAPI

• Pandas, Scikit, Pytorch, SciPy

• MLOps tools: MLFlow, KubeFlow, KServe or similar

• Soft Skills:

• End-to-end project ownership

• Creative problem solving

• Research skill and learning agility

• Strategic thinking

• Teamwork

• Communication

• Time management

• Language:Fluency in English (C1 level)

• Nice-to-Have:

• NLP experience, LLMs

• GCP (VertexAI, CloudRun, CloudFunctions), Azure AI or similar in other platforms

• Kubernetes, Terraform

• Software Engineering practices, BE/FE understandings

WAS WIR SCHÄTZEN

• 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