Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups. We're looking for a Pre-Sales Engineer to help clients unlock the value of modern AI and data platforms.
Requirements
- Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience
- Proven experience in technical roles - e.g., exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture
- Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions and/or modern data platform architectures
- Comfortable working across multiple clients and projects, often in parallel, with strong organizational and time management skills
- A strong foundational understanding of AI/ML workflows - from data preprocessing and model training to evaluation and deployment
- Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex)
- Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker
- Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow
- Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services (e.g., Azure Data Factory, Azure Synapse, Databricks, or similar platforms)
- Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders
- Excellent English (at least C1 level)
- Excellent time management and multitasking ability - comfortable working across several customer projects and internal teams
Benefits
- Flexible work arrangements
- Accelerated professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences
- 20 fully paid days off
- Team-building events
- Access to medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
- Full work equipment for optimal productivity, including a laptop and other necessary devices
- Opportunity to boost personal brand by speaking at conferences, writing for blog, or participating in meetups
- Smooth onboarding with a dedicated buddy
- Autonomous culture
