Pre-Sales Engineer (AI & Big Data)

Technologies we use

About the project

Your responsibilities

• Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and modern data platforms, and how these capabilities align with their strategic business goals.
• Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across both AI/ML and data platform initiatives.
• Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big data processing solutions.
• Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML as well as modern data engineering and analytics platforms.
• Contribute to internal R&D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies (e.g., cloud-native data platforms, data engineering tools), and translating insights into recommendations for internal teams and clients.
• Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales, through technical scoping and solution design, to hand-off to delivery teams and full implementation.

Our 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.

Optional

• Exposure to or interest in sales processes, technical demos, and customer-facing engagements.

This is how we organize our work

This is how we work

Team members

Development opportunities we offer

What we offer

• Work in the rapidly evolving world of AI & Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
• Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Benefits