ai engineer

Algonova develops an adaptive mathematics course that utilizes real-world production systems to personalize education for children in real-time.

• Develop and integrate AI-driven features that help the math curriculum adapt to student performance;
• Help transition ML prototypes into reliable production services that handle global traffic;
• Build and fine-tune LLM-based agents and RAG components to solve specific educational challenges;
• Speed up the experiment cycle by improving data pipelines and evaluation scripts;
• Implement and debug orchestration logic, memory management, and guardrails for AI agents;
• Support and optimize retrieval systems, ensuring high-quality context for LLM chains;
• Prepare high-quality custom datasets for fine-tuning and build automated evaluation pipelines;
• Monitor ML services in production, identifying and fixing latency issues, drifts, or performance degradations;
• Work closely with senior engineers and product managers to turn pedagogical requirements into technical reality.

• Solid Python skills and experience writing production-ready code;
• Practical experience with LLMs, RAG patterns, and vector databases;
• Comfort with PyTorch/TensorFlow and modern LLM frameworks like LangChain or LlamaIndex;
• Experience or strong desire to learn deploying and monitoring services in a cloud environment;
• High degree of autonomy and ability to dive deep into new technologies;
• English B2: Able to read technical documentation and communicate clearly with an international team;
• Nice to have: Experience with knowledge tracing (IRT/BKT/DKT), error diagnostics, and mastery models, proficiency in Knowledge Graphs and graph databases like Neo4j, hands-on experience with on-device/self-hosted models and inference optimization.

• Competitive salary and benefits package;
• Fully remote and flexible work options;
• Product-led team environment with direct influence over architecture and roadmap;
• High autonomy with rapid feedback loops.