Senior Software Engineer – Data Analytics, AI

This is a fully remote position, open to applicants in Croatia.

📋 Description

• Designing and managing the construction of an Agentic LLM architecture within a sophisticated Enterprise setting.

• Developing, deploying, and maintaining machine learning pipelines, models, and applications.

• Performing data exploration, as well as designing, constructing, and maintaining scalable data pipelines (both batch and streaming) and data infrastructure to facilitate rapid/near real-time analytics.

• Collaborating with UI/UX designers and the project team to create and deliver user-friendly Consumer UX-centric applications, including LLM clients.

• Providing documentation and/or training on LLM channels, Agentic, and Analytics-related subjects.

⛳️ Requirements

• Advanced proficiency in Python, JavaScript, or Java technologies (including the Spring framework).

• Experience in developing machine learning algorithms, including predictive AI, data clustering, and generative AI.

• Knowledge of LLM architectures; multi-agent pipelines, MCP integrations, evaluation frameworks, and analytics.

• Skilled in schema design, data modeling, and SQL.

• Familiarity with ETL concepts and tools for both manual and Low-Code ETL and pipeline development.

• Experience in streaming and batch data processing.

• Strong problem-solving skills along with structured thinking and analytical abilities.

• Keen attention to detail and proficient verbal/written communication skills.

• Capability to quickly learn and research new technologies.

• Familiarity with Generative UI and/or multi-modal LLM clients, including real-time voice, is a plus.

• Good understanding of Apache Spark architecture.

• Solid knowledge of Big Data file formats (Avro, Parquet, etc.).

• Understanding of the Communication Service Provider (CSP) sector and enterprise landscape.

🏝️ Benefits

• Competitive salary that acknowledges performance and fosters innovation.

• Monthly allocation of Keeper Tokens to recognize and reward employee contributions.

• Annual health check available in select locations, showing our commitment to your health and wellness.

• Flexibility in remote work options, along with benefits aimed at supporting healthy work/life balance and family growth.

• Opportunities for learning and development, with time and access to training materials provided for skill enhancement.

• Access to internal R&D projects to cultivate cutting-edge skills in areas such as AI, big data, and blockchain.

• Career path planning, encouraging team members to discuss their career aspirations with the support and training needed to achieve them.

• A culture that values connection, with leadership teams bringing extensive experience in assisting blue-chip companies to grow and scale internationally.