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ALPAS

Senior AI Engineer

ALPAS • Berlin, BE, DE
Full-time Posted 5 months ago

Role overview

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!

Benefits

  • check_circle 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
  • check_circle High ownership and responsibility to manage your own projects
  • check_circle See your work deliver immediate results for stakeholders and collaborate closely with our Product team
  • check_circle Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee)
  • check_circle Rapid development with a steep learning curve
  • check_circle Awesome team events and an inclusive company culture with a diverse team
  • check_circle A hybrid work environment and a nice office in Berlin, Prenzlauer Berg
  • check_circle 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
  • check_circle Develop scalable AI agents with Langgraph and NLP pipelines
  • check_circle Develop RAG systems using vector databases
  • check_circle Apply system design thinking for E2E solutions
  • check_circle Ensure seamless integration into the Alpas platform
  • check_circle Apply agentic workflow patterns
  • check_circle Implement MLOps pipelines for ML models
  • check_circle Optimize for model performance and inference efficiency
  • check_circle Maintain codebase and adopt good practices
  • check_circle Train and evaluate pytorch NLP models
  • check_circle Research and adapt new AI tech developments
  • check_circle Benchmark models and solutions
  • check_circle Support and mentor junior engineers
  • check_circle Less than 1% failures for search AI agent
  • check_circle Scalable & reliable integration among agents as well as agents & backend
  • check_circle Build monitoring pipeline for all AI agents at scale
  • check_circle Control cost of agentic workloads
  • check_circle Meet quality targets
  • check_circle Experience:
  • check_circle MLE/MLOPs/Software Engineer (Machine Learning)/Backend Engineer (ML/AI)/ SWE Data/DE/ML Platform Engineer/AI Engineer
  • check_circle 4-6 years experience
  • check_circle Technical Skills:
  • check_circle Python, PyTest
  • check_circle Argo, PubSub, CI/CD, Docker, FastAPI
  • check_circle Pandas, Scikit, Pytorch, SciPy
  • check_circle MLOps tools: MLFlow, KubeFlow, KServe or similar
  • check_circle Soft Skills:
  • check_circle End-to-end project ownership
  • check_circle Creative problem solving
  • check_circle Research skill and learning agility
  • check_circle Strategic thinking
  • check_circle Teamwork
  • check_circle Communication
  • check_circle Time management
  • check_circle Language: Fluency in English (C1 level)
  • check_circle Nice-to-Have:
  • check_circle NLP experience, LLMs
  • check_circle GCP (VertexAI, CloudRun, CloudFunctions), Azure AI or similar in other platforms
  • check_circle Kubernetes, Terraform
  • check_circle Software Engineering practices, BE/FE understandings
  • check_circle Honest, fast, and open collaboration as well as strong communication skills
  • check_circle We hire you because you are the subject-matter expert in your fields, we appreciate being challenged
  • check_circle Ability and willingness to commit to goals and tangible impact
  • check_circle Resourceful self-starters who hold themselves to high standards, have attention to detail, are intrinsically motivated & eager to learn on a daily basis
  • check_circle Proactive hands-on working style with passion for customer-facing tasks
  • check_circle Team members who are excited about our mission & tech

About the company

Alpas is proud to be an equal-opportunity employer. We view diversity as a moral imperative and competitive advantage. We are committed to equal employment opportunities regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please let us know.

Tags & Focus Areas

Fulltime Ai Ai Engineer Machine Learning Data Science Nlp

About ALPAS

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