[Hiring] Senior AI Engineer @Tooploox

Role Description

We are seeking a dynamic and motivated AI Engineer with a strong focus on developing Production-Grade AI Agents. If you have a deep understanding of modern AI stacks and thrive on moving beyond simple demos to build reliable, evaluation-driven solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements.

• Collaborate with and lead cross-functional teams to design and build stateful, multi-agent workflows using modern orchestration patterns.
• Engage with clients to define requirements and oversee the full software development lifecycle, from proof of concept through evaluation and implementation to production.
• Implement rigorous evaluation pipelines (e.g., LLM-as-a-Judge) to quantitatively measure agent performance and reliability before deployment.
• Proactively drive productivity and adapt to evolving demands, taking initiative consistently.
• Translate stakeholders’ needs into requirements and drive the backend (and sometimes frontend) development to ship functional end-to-end prototypes.
• Stay informed about rapid advancements in the field, continuously learning and integrating new knowledge.
• Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.

Qualifications

• Advanced expertise in Python, with a focus on writing clean, modular code and delivering production-ready applications.
• Solid software engineering knowledge and experience including system design, databases management and deep understanding of REST API principles.
• Readiness to lead client collaboration, fostering clear communication and effective partnership.
• Deep practical experience with modern LLM orchestration and state-management frameworks.
• Strong understanding of Retrieval-Augmented Generation (RAG) including advanced techniques like hybrid search, re-ranking, and graph-based retrieval; proficiency in vector databases.
• Experience implementing tracing and monitoring and evaluation for complex agent flows.
• Experience with API/SDKs of major model providers and Model Context Protocol (MCP).
• Experience configuring services on cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker/K8s).
• Proficient in automating CI/CD processes and understanding DevOps practices.
• Fluency in English (you will attend meetings with English speaking clients).

Requirements

• TypeScript experience.
• Knowledge of machine learning principles or model fine-tuning.
• Experience running and serving local LLMs (e.g., via Ollama, vLLM, or TGI).
• Familiarity with Voice Agents concepts and frameworks like Pipecat or LiveKit.
• Experience with graph databases (e.g., Neo4j) or GraphRAG approaches.

Benefits

• Flexibility to choose your working hours and location.
• Remote work opportunities.
• Building relationships in our Warsaw and Wrocław offices.
• Relaxed atmosphere with home-made pizza from our office pizza oven.
• Pet-friendly office environment.