technologies-expected :

technologies-optional :

responsibilities :

Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and how it aligns with their strategic business goals.
Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility.
Design and communicate high-level solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows.
Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery.
Contribute to internal R&D by evaluating emerging AI tools, libraries, and frameworks, and distilling insights for internal use and client recommendations.
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.

requirements-expected :

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, platforms, consulting services, solution engineering, or cloud architecture.
Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions.
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.
Strong communication skills, with the ability to simplify complex concepts for diverse audiences including data scientists, 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.

offered :

Work in a supportive team of passionate enthusiasts 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 from various employment options: B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
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 :

technologies-optional :