The Role
Lead development and integration of ML models and agentic architectures to fully automate supplier search. Build scalable AI agents, RAG/vector search, MLOps pipelines, optimize inference, monitor agents at scale, mentor juniors, and ensure high reliability and cost control.
Summary Generated by Built In
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
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
Skills Required
- 4-6 years experience in MLE/MLOps/ML Engineer/Backend Engineer/Software Engineering roles
- Proficient in Python
- Unit testing with PyTest
- Containerization and CI/CD (Docker, Argo, CI/CD pipelines)
- Message/pub-sub systems (PubSub)
- Develop and deploy APIs with FastAPI
- Data science libraries: Pandas, Scikit (scikit-learn), SciPy
- Deep learning with PyTorch (train and evaluate models)
- MLOps tooling and pipelines (MLFlow, KubeFlow, KServe or similar)
- Experience building RAG systems and working with vector databases
- Experience designing and implementing agentic AI architectures and scalable AI agents (Langgraph)
- End-to-end project ownership, mentoring, and teamwork
- Fluency in English (C1)
- NLP experience and working with LLMs
- Cloud ML platforms (GCP: VertexAI, Cloud Run, Cloud Functions) or Azure AI experience
- Kubernetes and Terraform experience
- Strong software engineering practices and BE/FE understanding
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The Company
What We Do
Alpas provides an AI-powered sourcing intelligence platform designed to optimize procurement for manufacturing companies. By automating manual, data-intensive workflows, it enables procurement departments to identify and benchmark suppliers for technical components and services up to ten times faster than traditional methods, significantly reducing sourcing time and decreasing purchasing costs.
