Role overview
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.
What you'll work on
- 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
What we're looking for
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
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Data Science Nlp