Senior AI Engineer (f/m/d)

{"@context":"https://schema.org/","@type":"JobPosting","title":"Senior AI Engineer (f/m/d)","description":"

THE ROLE

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!

WHAT WE OFFER

• Working in a fast-paced environment with challenging tasks (zero-boredom-guarantee)

• High ownership and the freedom of managing your own projects

• Direct collaboration with the founders

• Rapid professional development & leadership opportunities with steep learning curve

• Personal Projects GTM

• Inclusive company culture with a diverse team

• A hybrid work environment and a nice office in Berlin, Prenzlauer Berg

YOUR RESPONSIBILITIES

• 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

YOUR EXPERIENCE

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