About this 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!
Tasks
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
Requirements 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
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