Czym będziesz się zajmować? Lead the architectural design and technical strategy for product offerings and customer-centric projects, ensuring consistency with company goals. Develop comprehensive solution architecture frameworks encompassing both infrastructure and application components to address project requirements. Formulate accurate development estimates, assess risks, and contribute significantly to proposal writing and solution pitching processes. Conduct thorough investigations and analyses of technical complexities, proposing optimal solutions for handling challenging issues that arise. Coordinate with project leadership and architects, clarifying technical barriers and detailing necessary project specifications. Proactively manage project scope, ensuring all deliverables align with agreed-upon objectives and client expectations. Facilitate project budgeting and timeline planning in collaboration with project managers and relevant stakeholders, aiming for cost-effective and timely solutions. Act as a technical mentor to junior team members, promoting continued learning and professional development within the technical team. Deliver pre-sales and technical consulting, advising potential clients solutions by understanding their requirements and aligning product capabilities to their needs. 

Kogo poszukujemy? A minimum of 7 years of experience in software development with a robust portfolio displaying a diverse set of accomplished projects. At least 2 years in a Solution Architect role emphasizing complex architectural design. At least 2 years in designing solutions integrating with Machine Learning Models and/or Generative AI / LLMs Back-End Development: Strong background in a major server-side language such as Node.js or Python Experience with databases including SQL and NoSQL varieties like MongoDB and PostgreSQL. In-depth understanding of API technologies, including RESTful APIs and GraphQL. In-depth understanding of background job processing patterns and libraries like BullMQ, Celery, Hatchet or similar AI Development: Experience with integration with third party AI Services or libraries Experience with deploying and serving AI models in production Experience working with LLM providers APIs like OpenAI, Anthrophic or similar Experience with vector databases and context retrieval techniques DevOps and Cloud Environments: Familiarity with containerization and orchestration tools like Docker and Kubernetes. Proficiency with AWS or Azure. Experience implementing continuous integration and delivery processes.