Senior AI Engineer (f/m/d)
- Location
- Berlin
- Type
- full-time
- Level
- Senior
- Work mode
- hybrid
Senior AI Engineer needed to automate Alpas's core product by developing, optimizing, and integrating ML models and architecture. Requires 4-6 years of experience with Python, PyTorch, and MLOps. Focus on building scalable AI agents, RAG systems, and ensuring seamless integration into the Alpas platform.
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
Senior AI Engineer (f/m/d)
Alpas · Berlin