Pre-Sales Engineer (AI & Big Data)
A
AddeptoAI consulting
Warszawa, Krucza 50, Kraków, Aleksandra Lubomirskiego 20, Wrocław, Świdnicka 40, Katowice, -, Gdańsk, -, Warszawa, Country code: PLFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English (at least C1 level)
- Required Skills
- PythonArtificial IntelligenceMachine LearningData engineeringData scienceLLMMLOpsGenerative AI
Requirements
- Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.
- Proven experience in technical roles such as AI/ML products, data platforms, or solution engineering.
- Foundational understanding of public cloud platforms (AWS, Azure, GCP).
- Strong foundational understanding of AI/ML workflows from data preprocessing to deployment.
- Familiarity with LLM-based applications including embeddings, vector databases, and frameworks like LangChain or LlamaIndex.
- Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.
- Proficiency in Python and experience with libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
- Understanding of modern data architectures including ETL/ELT, big data processing, and cloud data services.
- Excellent English language proficiency (at least C1 level).
- Strong communication skills and ability to simplify complex technical concepts.
Responsibilities
- Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand capabilities of AI/LLMs and modern data platforms.
- Lead or support technical discovery sessions to identify business problems and assess feasibility for AI/ML and data initiatives.
- Design and communicate solution architectures, including LLM integrations, RAG, vector databases, and cloud data architectures.
- Create and deliver technical PoCs, PoVs, and prototypes to support proposals.
- Contribute to internal R&D by evaluating emerging AI tools and frameworks.
- Collaborate with sales, delivery, and engineering teams to ensure smooth transition from scoping to implementation.
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